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Pre-synthetic redox control of structure and properties in copper TTFtt coordination polymers

Ningxin Jianga, Saranya Velliyaratb, Chen-Yu Liena, Ha L. Nguyena, Jan Hofmannc, Jie-Hao Chend, Arun Ramanathane, Alexander S. Filatova, Henry S. La Pierree, Shrayesh Pateld, Karena W. Chapmanc, Jan-Niklas Boynb and John S. Anderson*a
aDepartment of Chemistry, University of Chicago, Chicago, Illinois 60637, USA. E-mail: jsanderson@uchicago.edu
bDepartment of Chemistry, University of Minnesota, Minneapolis, Minnesota 55455, USA
cDepartment of Chemistry, Stony Brook University, Stony Brook, New York, 11794, USA
dPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
eSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332-0400, USA

Received 27th April 2025 , Accepted 11th September 2025

First published on 11th September 2025


Abstract

Conductive coordination polymers (CPs) with sulfur-based ligands offer strong metal–ligand interactions and redox tunability, making them promising candidates for electronic applications. Tetrathiafulvalene-2,3,6,7-tetrathiolate (TTFtt) is a particularly attractive ligand. However, its strong metal–ligand covalency leads to rapid irreversible metal coordination, limiting control over structure and morphology. Here, we demonstrate structural control in Cu TTFtt CPs using a pre-synthetic redox control strategy. Two new copper-based CPs, CuTTFtt and Cu2TTFtt, have been synthesized and thoroughly characterized from differentially oxidized TTFtt synthons. CuTTFtt forms a 1D chain, while Cu2TTFtt adopts a 2D ribbon-like structure. Detailed spectroscopic studies confirm the structures of these materials as well as their ligand and metal oxidation states. Physical property measurements reveal that Cu2TTFtt exhibits higher conductivity than CuTTFtt. Furthermore, Cu2TTFtt also shows unusual diamagnetism which contrasts the paramagnetism observed in CuTTFtt and the related material NiTTFtt. Density functional theory (DFT) further elucidates the physical properties of these CPs and supports the observed conductivity trends. This study expands the structural landscape of TTFtt-based CPs and further establishes how redox-doping can tune CP structure and physical properties.


Introduction

Conductive coordination polymers (CPs) are a promising class of materials for electronic and optoelectronic applications, including in sensing, energy storage, and electrocatalysis.1–12 Sulfur-based ligands are particularly attractive for constructing these materials due to their strong covalent bonding with transition metals, enabled by energetic matching and hence covalency between metals and sulfur.13–19 Many sulfur-containing ligands are also redox-active, which allows for further tuning of chemical and physical properties.20–23

Of many possible sulfur-rich ligands, tetrathiafulvalene-2,3,6,7-tetrathiolate (TTFtt), which combines a tetrathiafulvalene (TTF) core—a well-known motif in conductive molecules—with dithiolene coordination sites, is an excellent candidate for designing highly conductive materials.23–25 Several reports have investigated the combination of this linker with transition metals, but it typically exhibits rapid reaction with metal cations. This rapid irreversible reaction makes it difficult to control CP structure or morphology, and syntheses with TTFtt often yield amorphous black powders which can be difficult to characterize despite being highly conductive.26–29 Early synthetic efforts to generate TTFtt based CPs with both Ni and Cu resulted in conductive solids, but minimal insight into their electronic and geometric structure was obtained.30 This lack of insight is largely due to challenging structural characterization which can be particularly difficult with thiolate-based systems.31–34 Hoffmann and coworkers proposed several structures for TTFtt-based materials 40 years ago this year,35 but only a 1D chain structure of NiTTFtt has been experimentally demonstrated.23 Predictions of an alternative 2D sheet structure remain experimentally unverified.36

This dearth of detail presents a significant challenge in understanding (and controlling) the structure and properties of these materials. Dimensionality (1D, 2D, and 3D) plays a critical role over physical properties including both conductivity and magnetism, as demonstrated in both carbon-based materials and reticular structures.37–39 However, studies on the dimensionality of sulfur-based frameworks are rare. This difficulty in building structure–function relationships is made even more challenging as sulfur-based ligands often feature multiple accessible oxidation states which may change concurrently with changes in dimensionality.20,21,40 Many CP syntheses occur in aerobic conditions which can lead to in situ oxidation.41–43 This redox ambiguity complicates the determination of metal oxidation states, especially with redox-active metals such as Cu, where ambiguities in oxidation states are common in thiolate-based systems.44,45 The redox activity of ligands combined with the structural challenges mentioned above, make understanding and controlling the properties of TTFtt-based materials particularly challenging.

We recently employed a transmetalation and pre-synthetic doping strategy to successfully synthesize Ni CPs of TTFtt with variable TTFtt oxidation states.40,46 Using a pre-oxidized TTFtt transmetalating synthon provides NiTTFtt with a 1D chain structure where TTFtt is in a formally doubly oxidized state. While NiTTFtt displays high conductivity despite an amorphous structure, its reduced congener Li-NiTTFtt, with an overall TTFtt4− ligand, displays intriguing photothermoelectric and thermoelectric properties.

This progress in understanding the structure and electronic properties of NiTTFtt motivates extending this synthetic control to other transition metal centers. Copper-thiolate CPs are known to exhibit electrical conductivity comparable to that of nickel-thiolate materials.45,47,48 We have therefore investigated copper coordination chemistry with TTFtt and synthesized two new materials, CuTTFtt and Cu2TTFtt. By employing similar pre-synthetic redox control of transmetalating TTFtt reagents, we can manipulate TTFtt oxidation states, with Cu2TTFtt containing TTFtt3− linkers and CuTTFtt containing oxidized TTFtt2− linkers. Thorough characterization, including X-ray absorption spectroscopy (XAS), X-ray photoelectron spectroscopy (XPS), and Raman spectroscopy, enable an accurate determination of ligand and copper oxidation states.

Structural analyses suggest that while CuTTFtt adopts a 1D chain structure similar to NiTTFtt, while Cu2TTFtt forms a 2D ribbon-like layered structure consistent with original structural models proposed by Hoffman and coworkers.35 Conductivity measurements demonstrate that Cu2TTFtt shows higher conductivity compared to CuTTFtt. In contrast to the dominant Pauli paramagnetism observed in NiTTFtt, Cu2TTFtt also shows diamagnetic behavior while CuTTFtt exhibits Curie–Weiss paramagnetism. Density functional theory (DFT) calculations were also employed to provide insight into the different physical properties of NiTTFtt, CuTTFtt, and Cu2TTFtt and validate the observed experimental trends.

These findings validate and expand the known structural types for TTFtt-based CPs and also elucidate how these structures influence charge transport properties. Moreover, the different morphologies observed for these copper-based CPs suggest that linker redox-tuning is an important strategy for controlling structure. This study motivates continued investigations into how the structure and metal identity of TTFtt-based materials dictates magnetic coupling and novel emergent properties at the interface of conductivity and magnetism.

Results and discussion

Synthesis of CuTTFtt and Cu2TTFtt

The syntheses of CuTTFtt and Cu2TTFtt utilize transmetalation with TTFtt(SnBu2)2n+ reagents (n = 0 or 2) due to the ability to program a desired TTFtt redox state prior to CP synthesis (Fig. 1).22 CuTTFtt was synthesized following a similar procedure to NiTTFtt.23 First, TTFtt(SnBu2)2 was oxidized using FcBzoBArF4 (FcBzo = benzoylferrocenium and BArF4 = tetrakis[3,5-bis(trifluoromethyl)phenyl]borate) in dichloromethane (DCM). Separately, CuCl2 was dissolved in methanol (MeOH) and subsequently mixed with a DCM solution of oxidized TTFtt(SnBu2)2. A black powder (CuTTFtt) quickly formed and was isolated after workup.
image file: d5sc03070f-f1.tif
Fig. 1 Synthetic scheme for Cu2TTFtt (left) and CuTTFtt (right).

For Cu2TTFtt, two equivalents of Cu(acacF3)2 (acacF3 = trifluoroacetylacetonate) were mixed with excess tetramethylethylenediamine (TMEDA) in tetrahydrofuran (THF), then combined with one equivalent of TTFtt(SnBu2)2 in THF to immediately generate a dark powder. It is worth noting that the addition of TMEDA to a Cu(acacF3)2 solution initially results in an immediate color change from blue to green, suggesting the formation of [(Cu(TMEDA)2)]2+. The isolated dark green (nearly black) powder was dried at 70 °C to yield Cu2TTFtt.

Composition

X-ray fluorescence (XRF) analysis was initially used to determine the elemental composition of Cu2TTFtt and CuTTFtt (SI, Fig. S1 and Table S1). The Cu[thin space (1/6-em)]:[thin space (1/6-em)]S ratio is 1[thin space (1/6-em)]:[thin space (1/6-em)]3.78 for Cu2TTFtt and 1[thin space (1/6-em)]:[thin space (1/6-em)]9.7 for CuTTFtt corresponding to Cu[thin space (1/6-em)]:[thin space (1/6-em)]TTFtt ratios of ∼2[thin space (1/6-em)]:[thin space (1/6-em)]1 and ∼1[thin space (1/6-em)]:[thin space (1/6-em)]1, respectively. Minimal Sn content (<1% atomic ratio relative to Cu) was detected in both samples, indicating that copper effectively transmetalates tin in the TTFtt linkers. Combustion analysis for CuTTFtt reveals 19.99(8)% carbon, and 0.49(2)% hydrogen, suggesting negligible organic components beyond TTFtt. These results align with minimal mass loss observed below 200 °C in thermogravimetric analysis (TGA, Fig. S2). Based on this data, the chemical formula of CuTTFtt is most consistently assigned as CuC6S8 (Cu(TTFtt)).

For Cu2TTFtt, combustion analysis yields 21.36(1)% carbon, 2.72(3)% nitrogen, and 1.75(3)% hydrogen. These results suggest some additional organic component beyond a limiting formula of Cu2C6S8. Combined with a ∼10% mass loss observed at ∼200 °C in TGA (Fig. S2), we propose a chemical formula for Cu2TTFtt as Cu2C6S8(C6H16N2)0.5 (Cu2(TTFtt)(TMEDA)0.5) with the inclusion of 0.5 TMEDA molecules per formula unit. The inclusion of TMEDA suggests a fundamentally different structure for Cu2TTFtt. The proposed chemical formulas of both CuTTFtt and Cu2TTFtt match well with the combustion analysis results shown in Table S2.

Structural analysis

Both lab-based (Cu source, λ = 1.541 Å) and synchrotron (λ = 0.167 Å) sources were used for powder X-ray diffraction (PXRD) measurements to elucidate the structures of CuTTFtt and Cu2TTFtt. Lab-based PXRD analysis of CuTTFtt reveals no sharp Bragg peaks with only a very broad feature between about 23 and 30° 2θ that is indicative of a structure with low crystallinity (Fig. S3A). In contrast, Cu2TTFtt reveals two broad peaks centered at about 7.6° and 25.6°, suggesting a somewhat higher degree of crystallinity compared to CuTTFtt and most reported TTFtt-based CPs. The synchrotron PXRD patterns reveal substantially more diffraction peaks (Fig. 2A). The presence of TMEDA was found to be essential for obtaining crystalline samples (Fig. S3B). The PXRD pattern and carbon content of Cu2TTFtt remain unchanged after heating at 160 °C for 6 hours despite the boiling point of TMEDA being approximately 120 °C. This suggests that TMEDA strongly binds to the framework, playing a critical structural role in Cu2TTFtt.
image file: d5sc03070f-f2.tif
Fig. 2 (A) Synchrotron (λ = 0.167 Å) PXRD patterns and of Cu2TTFtt and CuTTFtt, (B) PDF of Cu2TTFtt and CuTTFtt. Structural model of Cu2TTFtt viewed along c-axis (C) and viewed from a-axis (D).

Pair distribution function (PDF) data (Fig. 2C and S5A) reveal local range order in these CPs. The low r region of the PDF data for both materials contains features at ∼1.4 Å, 1.8 Å, 2.3 Å, 2.7 Å and 3.0 Å that correspond to the C–C, C–S, Cu–S, C⋯S, and S⋯S distances, respectively (Fig. 2D and S5). These peaks correspond to intra-chain atomic distances within CuTTFtt and Cu2TTFtt and thus verify the presence of 1D chains in both materials. The PDF of CuTTFtt can be well-described by a single-chain model derived from NiTTFtt (Fig. S6). The difference in peak position between model and data around 2.3 Å is due to different Cu–S bond lengths compared with Ni–S distances from the NiTTFtt model.23

The PDF of Cu2TTFtt shows distinct differences in local order from the 1D materials, particularly in the intensity of the Cu–S peak at 2.3 Å and the presence of additional peaks at 3.5 Å and 3.9 Å. A similar 3.9 Å distance has been associated with a side-by-side ligand arrangement in other TTF based materials,49 and so the presence of this feature in Cu2TTFtt suggests the presence of such a side-by-side TTFtt arrangement. Combined with the increased Cu–S intensity observed in the PDF of Cu2TTFtt, we propose that these increased peak intensities correspond to additional Cu2+ ions that bind to sulfur in between negatively charged CuTTFtt2− chains in a side-by-side arrangement (Fig. 2C, D and 3). As previously mentioned, a structural model for tetrathiolate-based materials with a metal-to-ligand ratio of 2[thin space (1/6-em)]:[thin space (1/6-em)]1 was previously proposed by Hoffmann and coworkers in 1985, but experimental validations have been lacking until the present example for Cu2TTFtt. This model has also been proposed as a potential structure for [Cux(Cu-ETT)] systems.35,36 We therefore propose a related 2D model for Cu2TTFtt with additional Cu–S bonds, which is consistent with the larger peak at 2.3 Å in the PDF data (Fig. S5B). This model consists of a 2D layered framework where copper cations connect 1D chains (Fig. 2C, D and S7). Consistent with prior data on TTFtt materials, the interlayer distance is 3.62 Å and the distance between neighboring Cu centers is 12.6 Å within a Cu–TTFtt chain. It should be noted that this construct is an idealized highly symmetric model of the material and requires a perfect 1D chain length match and alignment when propagating along the second dimension. Any mismatch in these distances/alignments would lead to disorder in the material and formation of amorphous to semi-crystalline materials as observed experimentally.


image file: d5sc03070f-f3.tif
Fig. 3 Demonstration of proposed structural models of CuTTFtt (middle) and Cu2TTFtt (bottom) based on PXRD, PDF and elemental analysis.

The simulation of the PXRD pattern based on this idealized model using Pmmm space group and a unit cell of a = 6.67 Å, b = 12.61 Å, c = 3.62 Å (V = 304.3 Å3) reasonably reproduces the general features of the experimental diffraction pattern. This motivated the use of this model for a crude Rietveld refinement. This analysis is admittedly limited due to the poor crystallinity of Cu2TTFtt, but the Rietveld refinement does show a reasonable fit with the experimental data which provides some validation of the proposed structural model (Fig. S9). The refined unit cell parameters are a = 6.613(11) Å, b = 12.991(8) Å, c = 3.6136(20) Å (V = 310.4(6) Å3) with R and wR factors of 0.042 and 0.051 respectively. The only sharp Bragg peak is located at Q = 0.53 Å−1 and is assigned to a (010) reflection suggesting a more precise long-order arrangement of 1D chains in the structure compared to all other dimensions. The crystallite size (as refined over the whole powder pattern) is ∼7 nm, which is indicative of 5 to 6 Cu–TTFtt motifs in a single chain or ∼20 Cu2TTFtt layers. While this domain size is reasonable for a material with defects and disorder, it should be emphasized that this value is highly sensitive to both the sample's low crystallinity and to the limitations of our structural model. As such, the reported crystallite size should be regarded as an approximate lower bound rather than an absolute measurement.

While these X-ray analyses provide a reasonable structure for Cu2TTFtt, composition studies reveal a significant amount of TMEDA which is unaccounted for in the structural model. Attempts to incorporate TMEDA into the 2D plane or between the 2D planes do not produce physically reasonable models due to steric clashes. We instead propose that TMEDA binds exclusively to copper at the edge sites of Cu2TTFtt. TMEDA is known to act as a bidentate ligand for copper, forming complexes such as [Cu(TMEDA)Lx] or [Cu(TMEDA)2]1+/2+. When L represents sulfur-based ligands, a square planar geometry is reasonably expected in [Cu(TMEDA)L2].50 Given that Cu cations bind strongly to sulfur-based ligands, we propose that Cu(TMEDA)1+/2+ resides at the terminal positions of each Cu–TTFtt chain in Cu2TTFtt. A structural model was generated to allow AA stacking of Cu–TTFtt chains with TMEDA termination, as shown in Fig. S10. After structural optimization, the interlayer distance increased to 6.5 Å, which is longer than the expected 3.6 Å from PXRD data and suggests that Cu(TMEDA) complexes cannot stack directly on top of each other from different chains (Fig. S10). However, a structural model with TMEDA present only at terminal positions cannot account for the Cu[thin space (1/6-em)]:[thin space (1/6-em)]TMEDA ratio of 4 unless each chain consists of only four TTFtt anions, which is inconsistent with the strong (010) peak observed at 0.80° 2θ (l = 0.167 Å). The experimentally observed Cu[thin space (1/6-em)]:[thin space (1/6-em)]TMEDA ratio can only be achieved if two Cu–TTFtt chains are coupled in Cu2TTFtt, as illustrated in Fig. 3 and S12. The resulting structural model, shown in Fig. 3, demonstrates a chemical formula of Cu2TTFtt(TMEDA)0.5, which aligns well with the compositional analysis and avoids TMEDA steric clashes. Thus, the combined experimental data support that Cu2TTFtt adopts a 2D ribbon-like layered structure similar to that shown in Fig. 3.

We note that, despite the stoichiometric amount of TMEDA present, no distinct peak corresponding to TMEDA can be identified in the PDF analysis of Cu2TTFtt (Fig. 2B). This absence can be attributed to two factors. Firstly, reasonable Cu–N bond lengths (∼1.9 Å) have significant overlap with the numerous C–S bonds in the material. Secondly, the number of proposed Cu–N bonds is much smaller than the other bonds represented in the PDF analysis, resulting in a lower signal intensity that cannot be directly observed.

To further characterize the structures of Cu2TTFtt and CuTTFtt, we carried out Cu K-edge XAS measurements and analyzed the EXAFS data (Fig. S13, S14, Tables S3 and S4). For CuTTFtt, the best-fit results yield a Cu–S distance of 2.28 Å, a Cu–C distance of 3.13 Å, and an average Cu coordination number of 4.0 ± 0.2. These values are consistent with previously reported Cu–S bond lengths and with our PDF analysis,51 confirming that Cu in CuTTFtt adopts a square-planar coordination environment. This finding further supports the conclusion that the structure of CuTTFtt closely resembles that of NiTTFtt, forming a one-dimensional chain-like arrangement.

For Cu2TTFtt, the EXAFS fitting gives a Cu–N distance of 1.76 Å, a Cu–S distance of 2.27 Å, a Cu–Cu distance of 2.95 Å, and a Cu–C distance of 3.14 Å, with an average Cu coordination number of 4.1 ± 0.4. The Cu–S bond length again agrees well with the PDF analysis, confirming that Cu also adopts a square-planar geometry in this compound. The relative ratio of Cu–N to Cu–S bonds (1[thin space (1/6-em)]:[thin space (1/6-em)]8) is close to the theoretical value of 1[thin space (1/6-em)]:[thin space (1/6-em)]7, consistent with the presence of stoichiometric TMEDA in the structure. Together, these EXAFS results provide direct structural support that Cu2TTFtt adopts a two-dimensional ribbon-like framework.

Ligand redox state analysis

One advantage of using TTFtt(SnBu2)2n+ transmetalating agents is the well-defined TTF oxidation state which should translate into the resulting CP. However, in situ redox chemistry can frequently occur, and so rigorous characterization is necessary to confirm the proposed oxidation states of the TTFtt linker and Cu centers in the obtained materials. Normally, such an analysis would begin with characterization of the Cu oxidation states. However, the oxidation states of Cu centers can be notoriously difficult to concretely assign, particularly in covalent sulfur-based materials. Indeed, both XPS and XAS data provide somewhat ambiguous results (see SI Section 4).44,45,52,53

Recent sulfur K-edge XAS studies on Ni-TTFtt molecules indicate that the first pre-edge feature in doubly oxidized TTFtt2− appears ∼0.6 eV lower in energy than the pre-edge feature in both neutral TTFtt4− and singly oxidized TTFtt3−.54 This provides a useful benchmark to examine the oxidation state of TTFtt linkers in these copper-based materials. We therefore collected sulfur K-edge XAS data on both Cu2TTFtt and CuTTFtt (Fig. 4A). Molecular analogs of copper TTFtt compounds have not yet been successfully synthesized, so we compared the observed spectroscopic features to those of analogous nickel compounds for interpretation. For CuTTFtt, the first pre-edge feature is observed at 2470.4 eV, while in Cu2TTFtt, a shoulder-like feature appears at approximately 2471.2 eV. The 0.8 eV energy difference between the two samples strongly suggests that the TTFtt motifs are in different overall redox states. By comparison, the sulfur K-edge pre-edge feature for NiTTFtt appears at 2470.7 eV, supporting that the linkers in CuTTFtt are best assigned with a formal oxidation state of TTFtt2−. However, the pre-edge positions for TTFtt3− and TTFtt4− are similar, and so the redox state of TTFtt in Cu2TTFtt cannot be determined from sulfur K-edge XAS data alone.


image file: d5sc03070f-f4.tif
Fig. 4 Spectroscopic studies TTFtt ligand redox states. (A) Sulfur K-edge XAS, (B) Raman spectra, and (C) S 2p XPS spectra of Cu2TTFtt and CuTTFtt.

To further investigate the formal TTFtt redox state, Raman spectroscopy and XPS were employed. Infrared signals were difficult to interpret due to broadening, presumably from high reflectivity/shielding from potential metallic character (Fig. S15). The Raman spectra for Cu2TTFtt and CuTTFtt are more informative and are shown in Fig. 4B. Both compounds show peaks between 1400-1450 cm−1 which can be assigned to C–C vibrations.55 For Cu2TTFtt, this feature is centered at 1401 cm−1, compared to 1434 cm−1 in CuTTFtt. This shift to a lower wavenumber in Cu2TTFtt suggests differences in C–C bonding order, likely indicating longer C–C bond lengths in Cu2TTFtt and thus a more reduced formal oxidation state of the TTFtt linkers. Similar trends have been observed in NiTTFtt coordination complexes, where oxidation of the TTFtt motif decreases C–C bond length.40 In CPs such as NiTTFtt (TTFtt2−) and Li-NiTTFtt (TTFtt4−), oxidized TTFtt CPs consistently show C–C vibrations at higher wavenumbers.23,40 Thus, the higher frequency features observed in CuTTFtt vs. Cu2TTFtt further support more reduced TTFtt linkers in Cu2TTFtt.

Additional peaks are present around 900 cm−1 which can be assigned to C–S vibrations. These features are present in Cu2TTFtt and Li-NiTTFtt but are absent in CuTTFtt,55 and so we hypothesize that they may serve as a characteristic Raman signal for reduced TTFtt linkers (i.e. TTFtt4−).40 Overall, the observed Raman features strongly support the assignment of TTFtt in Cu2TTFtt as having a lower redox state than in CuTTFtt. Both samples also show a peak at 487 cm−1 which arises from Cu–S vibrations. However, Cu2TTFtt shows an extra peak at 527 cm−1 which indicates an additional sulfur ligation environment in Cu2TTFtt and further supports the proposed 2D ribbon structure.

Sulfur 2p XPS data was finally collected to further corroborate the TTFtt oxidation states (Fig. 4C). Notably, both Cu2TTFtt and CuTTFtt exhibit a main peak accompanied by two shoulder-like features. Deconvolution of the spectra into three distinct sulfur chemical states yields a reasonable fit, as shown in Fig. S17. Based on previous XPS analyses of poly[Cux(Cu-ETT)],36 the first two sets of doublets can be assigned to the reduced terminal sulfur (162.5 eV) and the oxidized terminal sulfur (164.1 eV) in the TTFtt ligand. The broad doublets at higher binding energy (164.8 eV) correspond to sulfur within the TTF core. Notably, the ratio of oxidized sulfur to reduced sulfur, determined from peak areas, increases from 1.20 in Cu2TTFtt to 2.15 in CuTTFtt, confirming a more oxidized redox state of TTFtt in CuTTFtt. Interestingly, the 162 eV feature, which intensifies with increasing oxidation of TTFtt, has also been observed in NiTTFtt (Fig. S18), poly[Cux(Cu-ETT)], and LixFe3(THT)2.21,23,36 This observation highlights XPS as a powerful tool for studying ligand redox states.

Finally, we examined the Cu K-edge XANES spectra of CuTTFtt and Cu2TTFtt (Fig. S20). The absorption edge of Cu2TTFtt is clearly shifted to lower energy relative to that of CuTTFtt. Since the Cu K-edge position decreases with decreasing oxidation state, this shift indicates the presence of a more reduced copper component in Cu2TTFtt. Together with the spectroscopic evidence for TTFtt2− ligands in CuTTFtt, this strongly supports a Cu2+ assignment in this compound, giving an overall formal redox state of (Cu2+)(TTFtt2−). For Cu2TTFtt, the ligand is expected to be either TTFtt3− or TTFtt4−; considering the lower edge position and the presence of a more reduced copper species, the most reasonable assignment is a mixed-valent state of (Cu2+)(Cu+)(TTFtt3−).51

Physical property studies

The electrical and magnetic properties of Cu2TTFtt and CuTTFtt were then analyzed (Fig. 5). A room-temperature four-point electrical conductivity of 50(2) S cm−1 for Cu2TTFtt and 23(2) S cm−1 for CuTTFtt were obtained. These values are high among those reported for most conductive CPs. Comparison of these values to those for NiTTFtt materials is informative. The reduced compound Li-NiTTFtt, which has TTFtt in a reduced state similar to Cu2TTFtt, shows a considerably lower conductivity (10(1) S cm−1), while NiTTFtt with oxidized TTFtt linkers is dramatically more conductive (4.7(3) × 102 S cm−1).23,40 Since Li-NiTTFtt adopts a 1D chain structure, the higher conductivity of Cu2TTFtt compared to both Li-NiTTFtt and CuTTFtt suggests that the 2D ribbon-like structure enhances charge transport.
image file: d5sc03070f-f5.tif
Fig. 5 Charge transport and magnetic properties of CuTTFtt and Cu2TTFtt. (A) Variable temperature resistance measurements. (B) Variable temperature magnetic susceptibility measurements of CuTTFtt at 0.1T. Curie–Weiss fit in pink. (C) Variable temperature magnetic susceptibility measurements of Cu2TTFtt at 0.1T. Inset shows negative susceptibility, supporting diamagnetism.

Additional data were then collected to further understand the charge transport properties of CuTTFtt and Cu2TTFtt. Both materials show increased resistance with decreasing temperature (Fig. 5A). Fitting the temperature-dependent conductivity data from 300 K to 150 K yields activation energies of 13.4 meV for Cu2TTFtt and 31.6 meV for CuTTFtt. The smaller activation energy in Cu2TTFtt suggests either a higher carrier density or mobility in Cu2TTFtt than in CuTTFtt. The UV-vis-NIR spectra (Fig. S21) show no sharp absorbance drop for either compound, indicating a band gap smaller than 0.62 eV, consistent with the small activation energy values. Ultraviolet photoelectron spectroscopy (UPS) allows for the determination of work functions of 4.27 eV for Cu2TTFtt and 4.47 eV for CuTTFtt (Fig. S22). Notably, for both compounds, the counts per second (CPS) drop to background levels at 0 eV, indicating a low or zero density of states at the Fermi level. The valence band maxima were determined to be 0.23 eV for Cu2TTFtt and 0.63 eV for CuTTFtt. These results suggest that both compounds are small-bandgap semiconductors, differing from the glassy metallic behavior observed in NiTTFtt. This is also consistent with the lower electrical conductivity values observed for both compounds compared to NiTTFtt. The Seebeck coefficients are 10.9(2) μV K−1 for Cu2TTFtt and −2.5(5) μV K−1 for CuTTFtt. In comparison, Li-NiTTFtt exhibits a Seebeck coefficient of 10 μV K−1, while NiTTFtt has a value of −3.6 μV K−1. Notably, materials where TTFtt is in a more reduced state (Cu2TTFtt and Li-NiTTFtt) exhibit p-type behavior, whereas those where TTFtt is in a more oxidized state (CuTTFtt and NiTTFtt) exhibit n-type behavior. This trend underscores the critical role of ligand redox states in tuning the electronic structure and determining the charge-carrier type in TTFtt-containing materials.

The magnetic properties of both CuTTFtt and Cu2TTFtt were also investigated, as shown in Fig. 5B and C. In contrast to NiTTFtt, which contains square planar Ni2+ cations in a closed shell diamagnetic 3d8 electron configuration, both copper compounds presented here contain Cu2+ cations, which have a 3d9 electronic configuration and are S = 1/2, potentially leading to magnetic behavior. For CuTTFtt the temperature dependence of the magnetic susceptibility (χ) increases monotonically with decreasing temperature from 300 to 1.8 K, consistent with paramagnetic behavior (Fig. 5B). As CuTTFtt exhibits high electrical conductivity, a small band gap, and S = 1/2 spin centers, some combination of both Pauli and Curie–Weiss paramagnetism is reasonable.56 Fitting the data from 150 K to 300 K using the Curie–Weiss law yields a Curie–Weiss temperature (θCW) of −74.8(14) K, Curie constant of 0.105 emu K mol−1 and an effective magnetic moment of 0.916(3)μB/Cu2+, which is lower than the expected 1.73μB/Cu2+ for S = 1/2 spins. The χT value at room temperature is 0.08 emu K mol−1 (Fig. S25C), which is also significantly lower than the expected spin-only value of 0.375 emu K mol−1. The field dependence of magnetization at 1.8 K slowly increases nonlinearly to 0.037μB/Cu2+ up to 7T (Fig. S25D).

To differentiate the contributions of Pauli and Curie–Weiss paramagnetism in TTFtt2−-based CPs, a modified Curie–Weiss law, χ = C/(TθCW) + χ0, incorporating a temperature-independent component (χ0), was used to fit the temperature dependence of the magnetic susceptibility for both CuTTFtt and NiTTFtt (Fig. S26) from 100 K to 300 K.56 Diamagnetic corrections were applied prior to fitting, ensuring that χ0 primarily represents the Pauli paramagnetic contribution. For NiTTFtt, C = 0.0797 emu K mol−1, χ0 = 3.28 × 10−4 emu mol−1 and θCW = 3.6 K, indicating paramagnetism dominated by Pauli contributions. In contrast, for CuTTFtt, C = 0.0739 emu K mol−1, χ0 = 3.40 × 10−5 emu mol−1 and θCW = −45.8 K, suggesting a stronger Curie–Weiss paramagnetic component due to the higher absolute θCW value and lower χ0. A possible conclusion from this fit is a lower number of carriers in CuTTFtt, leading to a smaller Pauli contribution, alongside antiferromagnetic coupling between either copper- or TTFtt-based spins. The interplay of antiferromagnetic coupling with carrier density or mobility remains an interesting arc of investigation in these materials.

For Cu2TTFtt (Fig. 5C), the magnetic susceptibility (χ) is negative and extremely small (∼10−4 emu mol−1) down to 30 K even after accounting for diamagnetic corrections. The χT value is also negative at room temperature (−0.07 emu K mol−1, Fig. S25A). The magnetization at 1.8 K and 7T is only 0.01μB, indicating that Cu2TTFtt exhibits diamagnetic behavior despite the presence of Cu2+ cations (Fig. S25B). The diamagnetic behavior of Cu2TTFtt suggests significant antiferromagnetic coupling leading to a strongly insulated singlet ground state.

To further investigate the nature of the spin centers in both compounds, we carried out X-band EPR measurements at 4 K (Fig. S27). The data were fitted using the EasySpin software57 with one and two S = 1/2 spin centers in Cu2TTFtt and CuTTFtt, respectively (Table S5, see SI for details). For Cu2TTFtt, only a single S = 1/2 resonance was observed at g = 2.011. This g-value and the observed sharp linewidth are characteristic of an organic radical and we therefore assign this signal to radical TTFtt3− linkers. SQUID susceptibility measurements show that Cu2TTFtt is diamagnetic between 100 and 300 K, but exhibits a Curie tail at low temperature, supporting a small amount of magnetic impurities. Taken together, these results suggest strong antiferromagnetic exchange between Cu2+ and TTFtt3− in Cu2TTFtt, which suppresses the Cu2+ EPR signal while leaving a small but detectable fraction of unpaired TTFtt3− spins, likely from defects or disorder. This finding also provides further support for a formal redox-state assignment of Cu2TTFtt as (Cu2+)(Cu+)(TTFtt3−).

In contrast, the EPR spectrum of CuTTFtt displays two distinct S = 1/2 resonances. A narrow and weak signal at g = 2.005 (∼1% of total intensity) can be attributed to trace radicals, likely from TTFtt3− defects. The dominant broader resonance at g = 2.036 (∼99% of the signal intensity) can be reasonably assigned to uncoupled Cu2+ spin centers based on comparison with other Cu dithiolenes.58 This assignment is also consistent with the SQUID susceptibility results, which indicate antiferromagnetic interactions between S = 1/2 Cu2+ ions.

Thus, the EPR results reveal that while CuTTFtt contains some Cu2+ spins with only a negligible amount of radical impurities, Cu2TTFtt exhibits suppressed Cu2+ signals due to strong Cu2+–TTFtt3− antiferromagnetic interactions and some residual radical signatures from the TTFtt3− linkers. These results provide additional confirmation of our proposed redox state assignments for both compounds.

Theoretical calculations

Density functional theory (DFT) calculations were performed to gain a deeper understanding of the electronic transport and magnetic behaviors of CuTTFtt and Cu2TTFtt and to compare them with NiTTFtt. The Vienna Ab initio Simulation Package (VASP)59–61 was used to perform first-principles calculations. The Perdew–Burke–Ernzerhof (PBE)62 exchange correlation functional was used within the Generalized Gradient Approximation (GGA). The Projector Augmented-Wave (PAW)63,64 method was used with the potentials PAW_PBE Cu for Cu, PAW_PBE C for C, PAW_PBE S for S and PAW_PBE Ni for Ni, respectively. The plane wave basis set was truncated at an energy cutoff of 800 eV for CuTTFtt and Cu2TTFtt, and 700 eV for NiTTFtt, yielding convergence of the total energy to 1 meV per atom. The Brillouin zone was sampled using a gamma-point centered 5 × 5 × 5 k-grid for all structural optimizations, a 7 × 7 × 7 k-grid for density of states (DOS) calculations, and a k-path determined from SeeK-path65–67 is used for band structure calculations. All calculations employed a SCF convergence criterion for the total energy of 10−8 eV with a Gaussian smearing width of 0.05 eV. For ionic relaxations, a force convergence criterion of 5 meV Å−1 was applied. van der Waals interactions were included via the DFT-D3 method with Becke–Johnson damping.68 All the band structure and DOS plots were generated using Sumo.69 The net atomic charge was calculated using Chargemol program by performing Density Derived Electrostatic and Chemical (DDEC6)70–72 atomic population analysis. The idealized infinite 2D sheet of Cu2TTFtt was used for simplicity, in lieu of the more complicated TMEDA capped structure. We also calculated a putative isolated 2D sheet of Cu2TTFtt.

First, the magnetic ground states of CuTTFtt, Cu2TTFtt, and isolated 2D sheets of Cu2TTFtt were investigated, all of which converge to a closed-shell ground state with zero magnetization. In Cu2TTFtt, the energy difference between the S = 1 and S = 0 states is significantly larger in the π-stacked system (0.337 eV) than in the isolated sheet (0.101 eV). This indicates that the π–π interactions in the stacked system make it increasingly favorable to pair electrons, promoting a closed-shell or antiferromagnetic coupling state. For CuTTFtt, the calculated energy gap between S = 1 and S = 0 is 0.203 eV, which is smaller than that of Cu2TTFtt. In the S = 1 excited state, the majority of the spin density is localized on the TTFtt linkers, with 0.35 electrons residing on the in-chain Cu atom and no significant spin density on the out-of-chain Cu. This localization likely promotes convergence to a closed-shell solution. Comparison with the vacuum-isolated sheet shows that π-stacking interactions do not significantly change the spin delocalization in the S = 1 state.

The diamagnetism observed in Cu2TTFtt aligns well with the calculated magnetic structure. The source of the paramagnetism observed in CuTTFtt is less clear. The smaller calculated energy gap between the closed-shell and S = 1 solutions suggests that a paramagnetic state is more reasonable in CuTTFtt. We also note the significantly lower high-temperature χT in CuTTFtt than would be expected for an S = ½ paramagnet which is consistent with a comparatively large energy gap. However, it is difficult to rule out paramagnetic defect sites in this amorphous material. If some copper centers are structurally distorted they may behave as isolated paramagnets. In either case, computations support that paramagnetic behavior is more reasonable in CuTTFtt, but deeper explorations of the magnetism of TTFtt CPs with paramagnetic metal centers are still warranted.

The band structure and DOS of Cu2TTFtt were also analyzed to assess conductivity along different crystallographic directions (Fig. 6C). Along the Γ–Z and Y–T directions (the TTFtt polymer chain directions, Fig. 6A), a steep TTFtt-based band crossing the Fermi level indicates metallic conductivity mediated by TTFtt. Along Γ–Z, a flatter Cu-based band above the Fermi level suggests electron localization on Cu. Along Γ–Y (the Cu chain direction, orthogonal to the TTFtt chains), a Cu-based band crossing the Fermi level implies metallic conductivity mediated by Cu atoms.


image file: d5sc03070f-f6.tif
Fig. 6 Band structure and DOS for Cu2TTFtt and CuTTFtt. (A) Primitive structure and Brillouin zone of the Cu2TTFtt unit cell. (B) Primitive structure and Brillouin zone of the CuTTFtt unit cell. (C) Projected band structure and DOS for Cu2TTFtt with the Fermi level denoted by black dashed lines. (D) Projected band structure and DOS for CuTTFtt with the Fermi level denoted by black dashed lines.

Along Γ–X and S–Y (the π-stacking direction), two steep TTFtt-based bands crossing the Fermi level indicate high inter-stack conductivity, while a flatter Cu-based band just above the Fermi level in Γ–X suggests possible Cu electron localization. The DOS at the Fermi level is dominated by S p-orbitals, with notable contributions from C p- and Cu d-orbitals, highlighting the role of TTFtt π-electrons and Cu-mediated interactions in charge transport. To examine the role of π-stacking, we also analyzed isolated 2D sheets of Cu2TTFtt (see SI Section 6). The band structure of the isolated sheets exhibits a 0.45 eV band gap located 0.3 eV above the Fermi level, with generally flatter bands. These findings confirm that π-stacking plays an important role in mediating conductivity along the polymer and Cu chains. However, we note the additional metallic directions between 1D chains in Cu2TTFtt, which may lead to the higher conductivity in this material.

To test the effect of TMEDA, we calculated the DOS for the 2D Cu2TTFtt system with TMEDA included (Fig. S28). The results confirm that TMEDA has negligible effect on the states near the Fermi level, supporting that its omission does not significantly affect the predicted electronic structure. Next, we consider the band structure and DOS of CuTTFtt to analyze the conductivity of the 1D chain along different crystallographic directions (Fig. 6D). The electronic band structure reveals multiple bands crossing the Fermi level, indicating metallic behavior. Along Γ–X (slightly off-axis to the π-stacking direction, Fig. 6B), two steep, TTFtt-based bands crossing the Fermi level suggest π-electron delocalization, while a flatter Cu-based band just above the Fermi level indicates electron localization on Cu. Along Γ–Z (the polymer chain direction), one Cu-based and one TTFtt-based band cross the Fermi level, indicating metallic character along the chain. Finally, along Γ–T (in-plane direction nearly perpendicular to the polymer chain), a less dispersive Cu-based band crossing the Fermi level suggests weaker interchain interactions. A 0.2 eV band gap appears at 1.4 eV above the Fermi level. The DOS at the Fermi level is primarily contributed by S p-orbitals, with notable C p- and Cu d-orbital contributions, again highlighting the influence of TTFtt π-electrons and Cu–TTFtt interactions in conductivity.

The band structure and DOS of NiTTFtt (Fig. S30A) are analyzed as a reference against CuTTFtt due to their different conductivities despite similar structural motifs and π-stacking interactions. Along the polymer chain and π-stacking directions, NiTTFtt exhibits metallic character, primarily driven by TTFtt with minimal Ni contributions. In contrast, a band gap appears along the in-plane direction nearly perpendicular to the polymer chain indicating hindered charge transport in this direction. CuTTFtt exhibits a higher DOS at the Fermi level, gradually decreasing to form a band gap, whereas NiTTFtt shows no such gap (Fig. S30B). Additionally, CuTTFtt shows more avoided crossings and flatter bands than NiTTFtt, suggesting more electron localization. The reduced band dispersion in CuTTFtt correlates with the experimentally observed higher conductivity in NiTTFtt relative to CuTTFtt.

Next, we compare the band structure and DOS of Cu2TTFtt and CuTTFtt to examine how the additional orthogonal Cu chains in Cu2TTFtt influence its metallic character. Along the polymer chain direction, Cu2TTFtt has a more dispersive TTFtt-based band crossing the Fermi level compared to CuTTFtt. Additionally, in this direction, Cu2TTFtt has a relatively flat Cu-based band above the Fermi level, while in CuTTFtt, the Cu-based band crosses the Fermi level. In CuTTFtt, along the in-plane direction nearly perpendicular to the polymer chain, a relatively flat Cu-based band again suggests some electron localization. In contrast, Cu2TTFtt shows a highly dispersed band along the Cu chain direction, indicating strong metallic character. The 0.2 eV band gap observed at 1.4 eV above the Fermi level in CuTTFtt is absent in Cu2TTFtt, as this gap is filled with a high density of bands from the additional Cu orbitals. Both materials display a similar total DOS at the Fermi level, but CuTTFtt shows a peak just above EF that gradually decreases until forming the 0.2 eV gap (Fig. S30C).

Discussion

The generally steeper band crossing the Fermi level in Cu2TTFtt compared to CuTTFtt strongly suggests higher electron mobility in Cu2TTFtt. Combined with the smaller activation energy of Cu2TTFtt relative to CuTTFtt, its electrical conductivity is expected to be higher, which is consistent with experiment. However, both compounds are theoretically predicted to be metallic, which contradicts the overall semiconducting behavior that is observed. We note that NiTTFtt, which is also predicted to be metallic, exhibits glassy metal behavior.23 This discrepancy suggests that reduced crystallinity in all of these samples likely introduces localized states or increased electron scattering, significantly altering their electronic transport properties.

The significantly lower conductivity of CuTTFtt compared to NiTTFtt is noteworthy. In several conductive reticular materials, Cu-based compounds typically exhibit higher conductivity than their Ni analogs with the same ligands, such as benzenehexathiolate and hexaiminobenzene.2 This divergent behavior in TTFtt2−-based materials may be attributed to the triplet diradical nature of TTFtt2− (ref. 73) and suggests that magnetic metal centers, such as Cu2+, are detrimental to electrical conductivity when putatively magnetic linkers are present. This may plausibly arise from some degree of coupling between the paramagnetic centers and the TTFtt-based electrons which serve as carriers.

Although theoretical calculations suggest that the 2D structure of Cu2TTFtt should result in electronic conductivity comparable to that of amorphous NiTTFtt, experimental results reveal that the conductivity of Cu2TTFtt is actually one order of magnitude lower. This counterintuitive result can be primarily attributed to the presence of TMEDA, which coordinates with Cu2+ centers and acts as an insulating barrier at the grain boundaries, thereby impeding efficient charge transport between crystallites. In contrast, NiTTFtt contains no organic components beyond TTFtt itself, allowing for strong π–π interactions between chains that promote effective interchain electron transfer. Possible strategies to further enhance the conductivity of Cu2TTFtt include substituting TMEDA with smaller amines, performing post-synthetic ligand exchange, and optimizing growth/annealing conditions to enlarge crystallite sizes.

Multiple independent measurements indicate that Cu2TTFtt is mixed-valent, with coexisting Cu+ and Cu2+ centers. Mixed valency has been reported more frequently in iron-based conductive coordination polymers, where Fe2+/Fe3+ delocalization can enhance charge transport.74 By analogy, similar mechanisms may facilitate conductivity in Cu2TTFtt even though the macroscopic conductivity is likely limited by grain-boundary effects. The presence of Cu+ may also be structurally consequential: it likely contributes to stabilizing the 2D ribbon-like architecture observed for Cu2TTFtt. In particular, prior studies on poly[Cux(Cu-ETT)] plausibly feature related structural/valence motifs,36 whereas analogous 2D arrangements have not been reported for Ni-based TTFtt or ETT systems—as expected due to the much lower stability of Ni+ relative to Cu+. Collectively, these considerations highlight the importance of Cu+ in stabilizing 2D networks and suggest that mixed valency may serve as an additional feature for tuning structure and charge transport in TTFtt-based coordination polymers.

Cu2TTFtt, with its 2D structure and strong antiferromagnetic (AFM) interactions, bears some similarity to the layered cuprate materials, which exhibit high-temperature superconductivity.75 In cuprates, doping introduces charge carriers that suppress long-range AFM ordering and enable unconventional superconducting states. We speculate that a similar approach in Cu2TTFtt, specifically doping at the Cu sites or modulating the redox state of the TTFtt ligand, may result in interesting electronic and magnetic properties. This is particularly compelling given the interplay of 2D geometry, AFM interactions, and the potential for doping-induced charge delocalization in Cu2TTFtt. Experimental exploration of doping strategies and their effects on the electronic density of states, along with theoretical studies to identify accessible pairing mechanisms, are exciting future areas of study.

Conclusions

In this study, two new copper-TTFtt-based coordination polymers, CuTTFtt and Cu2TTFtt have been successfully synthesized and characterized. The isolation of these materials was made possible by leveraging pre-synthetic redox control of the TTFtt ligand, where differentially oxidized transmetalation precursors provide access to the two different materials. Structural analyses using PXRD, PDF and EXAFS methods reveal that CuTTFtt adopts an amorphous 1D chain structure, while Cu2TTFtt features a 2D ribbon-like layered framework due to the inclusion of ribbon-capping TMEDA molecules.

Comprehensive spectroscopic studies, including sulfur and copper K-edge XAS, Raman spectroscopy, and XPS, demonstrate that the oxidation states of the TTFtt ligand and Cu centers play a critical role in determining the electronic and magnetic properties of these materials. The material CuTTFtt features an oxidized TTFtt2− state, while the spectroscopic evidence supports a reduced formally (Cu2+)(Cu+)(TTFtt3−) electronic structure in Cu2TTFtt. These results further underscore the importance of precise redox state determination in sulfur-based coordination systems.

Electrical conductivity measurements show that both materials are highly conductive, with room-temperature values of 23(2) S cm−1 for CuTTFtt and 50(2) S cm−1 for Cu2TTFtt. The higher conductivity of Cu2TTFtt is due to some combination of higher carrier densities or enhanced charge mobility as based on DFT calculations. Magnetic studies reveal contrasting behaviors. 1D CuTTFtt displays paramagnetic behavior, while Cu2TTFtt is diamagnetic, likely due to strong antiferromagnetic coupling interactions. These observations provide insight into the interplay between magnetic properties, dimensionality, and electronic properties in CPs containing redox-active ligands.

In conclusion, this work demonstrates the importance of redox state control and dimensionality in tuning the structural, electronic, and magnetic properties of TTFtt-based CPs, particularly as paramagnetic ions are included into these materials. The different structures arising from differentially oxidized precursors represents a new pathway for controlling material dimensionality and crystallinity. The inclusion of TMEDA in Cu2TTFtt also raises the possibility of modulating TTFtt-based materials with additional organic components. By bridging theoretical predictions and experimental realization, this study provides important insights into the rational design of highly conductive and magnetically tunable coordination materials.

Author contributions

N. J. and J. S. A. conceived and designed the study. N. J. performed the majority of the experimental work. S. V. and J.-N. B. carried out the theoretical calculations. C.-Y. L. conducted variable-temperature electrical resistance measurements and scanning electron microscopy analyses. H. L. N. built the structural model. J. H. and K. W. C. performed structural characterization and analysis. J.-H. C. and S. P. conducted electrical conductivity and Seebeck coefficient measurements. A. R. and H. S. L. performed UV-vis and X-ray absorption spectroscopy measurements and subsequent data analysis. A. S. F. conducted X-ray photoelectron spectroscopy studies and contributed to structural analysis. All authors participated in writing and revising the manuscript.

Conflicts of interest

There are no conflicts to declare.

Data availability

Data for this article, including experimental details, composition characterizations, structural characterizations, spectroscopic characterizations, physical property measurements, and theoretical calculation details are available in SI. Supplementary information is available. See DOI: https://doi.org/10.1039/d5sc03070f.

Acknowledgements

N. J. and J. S. A. gratefully acknowledge support from the Army Research Office (W911NF-23-1-0233) and the National Science Foundation (DMR-2407101). J. S. A. also acknowledges support from the Dreyfus Foundation for a Teacher-Scholar Award (TC-21-064). J. B. and S. V. thank the University of Minnesota for the start-up funding. A. R. and H. S. L. acknowledge support for spectroscopic studies through NSF grant CHE-1943452. Use of the Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, is supported by the U.S. DOE, BES (DE-AC02-76SF00515). The SSRL Structural Molecular Biology Program is supported by the DOE BER, and by the NIGMS (P41GM103393). This research used beamline 28-ID-1 of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under contract no. DE-SC0012704. This work was supported by the Catalyst Design for Decarbonization Center, an Energy Frontier Research Center, which is funded by the US Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES) DE-SC0023383. This work was partially supported by the University of Chicago Materials Research Science and Engineering Center, supported by the National Science Foundation under award number DMR-2011854. This work made use of the Pritzker Nanofabrication Facility of the Institute for Molecular Engineering at the University of Chicago, which receives support from Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource (NSFECCS-2025633), a node of the National Science Foundation's National Nanotechnology Coordinated Infrastructure. This work was performed, in part, at the Center for Nanoscale Materials, a DOE Office of Science User Facility, and supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under contract no. DE-AC02-06CH11357. We thank Maia E. Czaikowski for conducting Raman spectroscopy measurements, and also thank Nathan P. Lopez and Dr H. Christopher Fry for assisting with EPR experiments.

References

  1. G. Givaja, P. Amo-Ochoa, C. J. Gómez-García and F. Zamora, Chem. Soc. Rev., 2012, 41, 115–147 Search PubMed.
  2. L. S. Xie, G. Skorupskii and M. Dinca, Chem. Rev., 2020, 120, 8536–8580 CrossRef CAS PubMed.
  3. M. Wang, R. Dong and X. Feng, Chem. Soc. Rev., 2021, 50, 2764–2793 RSC.
  4. Z. Meng and K. A. Mirica, Nano Res., 2021, 14, 369–375 CrossRef CAS.
  5. A. Aykanat, Z. Meng, R. M. Stolz, C. T. Morrell and K. A. Mirica, Angew. Chem., 2022, 134, e202113665 CrossRef.
  6. H. Roh, T. J. Quill, G. Chen, H. Gong, Y. Cho, H. J. Kulik, Z. Bao, A. Salleo and A. Gumyusenge, ACS Nano, 2025, 19, 6332–6341 CrossRef CAS PubMed.
  7. M.-S. Yao, K.-I. Otake and S. Kitagawa, Trends Chem., 2023, 5, 588–604 CrossRef CAS.
  8. H. Maeda, K. Takada, N. Fukui, S. Nagashima and H. Nishihara, Coord. Chem. Rev., 2022, 470, 214693 CrossRef CAS.
  9. Y. Lu, P. Samorì and X. Feng, Acc. Chem. Res., 2024, 57, 1985–1996 CrossRef CAS PubMed.
  10. D. Feng, T. Lei, M. R. Lukatskaya, J. Park, Z. Huang, M. Lee, L. Shaw, S. Chen, A. A. Yakovenko, A. Kulkarni, J. Xiao, K. Fredrickson, J. B. Tok, X. Zou, Y. Cui and Z. Bao, Nat. Energy, 2018, 3, 30–36 CrossRef CAS.
  11. M. L. Aubrey, B. M. Wiers, S. C. Andrews, T. Sakurai, S. E. Reyes-Lillo, S. M. Hamed, C.-J. Yu, L. E. Darago, J. A. Mason, J.-O. Baeg, F. Grandjean, G. J. Long, S. Seki, J. B. Neaton, P. Yang and J. R. Long, Nat. Mater., 2018, 17, 625–632 CrossRef CAS PubMed.
  12. P. H. Le, L. B. Zasada and D. J. Xiao, Acc. Chem. Res., 2025, 58, 1776–1785 CrossRef CAS PubMed.
  13. J. Xie, L. Wang and J. S. Anderson, Chem. Sci., 2020, 11, 8350–8372 RSC.
  14. Y. Kamakura and D. Tanaka, Chem. Lett., 2021, 50, 523–533 Search PubMed.
  15. A. J. Clough, J. W. Yoo, M. H. Mecklenburg and S. C. Marinescu, J. Am. Chem. Soc., 2015, 137, 118–121 CrossRef CAS PubMed.
  16. C. A. Downes and S. C. Marinescu, J. Am. Chem. Soc., 2015, 137, 13740–13743 CrossRef CAS PubMed.
  17. X. Huang, H. Li, Z. Tu, L. Liu, X. Wu, J. Chen, Y. Liang, Y. Zou, Y. Yi, J. Sun, W. Xu and D. Zhu, J. Am. Chem. Soc., 2018, 140, 15153–15156 CrossRef CAS PubMed.
  18. R. Dong, P. Han, H. Arora, M. Ballabio, M. Karakus, Z. Zhang, C. Shekhar, P. Adler, P. S. Petkov, A. Erbe, S. C. B. Mannsfeld, C. Felser, T. Heine, M. Bonn, X. Feng and E. Cánovas, Nat. Mater., 2018, 17, 1027–1032 Search PubMed.
  19. C. Lu, J. Y. Choi, B. Check, X. Fang, S. Spotts, D. Nuñez and J. Park, J. Am. Chem. Soc., 2024, 146, 26313–26319 CrossRef CAS PubMed.
  20. L. Wang and J. S. Anderson, Chem. Mater., 2024, 36, 3999–4010 CrossRef CAS.
  21. L. Wang, A. Sarkar, G. L. Grocke, D. W. Laorenza, B. Cheng, A. Ritchhart, A. S. Filatov, S. N. Patel, L. Gagliardi and J. S. Anderson, J. Am. Chem. Soc., 2023, 145, 8486–8497 CrossRef CAS PubMed.
  22. J. Xie, J.-N. Boyn, A. S. Filatov, A. J. McNeece, D. A. Mazziotti and J. S. Anderson, Chem. Sci., 2020, 11, 1066–1078 Search PubMed.
  23. J. Xie, S. Ewing, J.-N. Boyn, A. S. Filatov, B. Cheng, T. Ma, G. L. Grocke, N. Zhao, R. Itani, X. Sun, H. Cho, Z. Chen, K. W. Chapman, S. N. Patel, D. V. Talapin, J. Park, D. A. Mazziotti and J. S. Anderson, Nature, 2022, 611, 479–484 CrossRef CAS PubMed.
  24. R. P. Shibaeva and E. B. Yagubskii, Chem. Rev., 2004, 104, 5347–5378 CrossRef CAS PubMed.
  25. A. Kobayashi, E. Fujiwara and H. Kobayashi, Chem. Rev., 2004, 104, 5243–5264 CrossRef CAS PubMed.
  26. H. Poleschner, W. John, G. Kempe, E. Hoyer and E. Fanghänel, Z. Chem., 1978, 18, 345–346 CrossRef CAS.
  27. N. M. Rivera, E. M. Engler and R. R. Schumaker, J. Chem. Soc., Chem. Commun., 1979, 184–185 RSC.
  28. N. Yoshioka, H. Nishide, K. Inagaki, K. Inagaki and E. Tsuchida, Polym. Bull., 1990, 23, 631–636 CrossRef CAS.
  29. Y. Tang, X. Gan, M. Tan and X. Zheng, Synth. Met., 1998, 97, 43–46 CrossRef CAS.
  30. S. Dahm, W. Strunz, H. J. Keller and D. Schweitzer, Synth. Met., 1993, 55, 884–889 CrossRef CAS.
  31. K. Ueda, R. Fukuzaki, T. Ito, N. Toyama, M. Muraoka, T. Terao, K. Manabe, T. Hirai, C.-J. Wu and S.-C. Chuang, J. Am. Chem. Soc., 2022, 144, 18744–18749 Search PubMed.
  32. J. R. Reynolds, J. C. Chien and C. P. Lillya, Macromolecular, 1987, 20, 1184–1191 CrossRef CAS.
  33. C. Dirk, M. Bousseau, P. Barrett, F. Moraes, F. Wudl and A. Heeger, Macromolecular, 1986, 19, 266–269 CrossRef CAS.
  34. Z. Liu, T. Liu, C. N. Savory, J. P. Jurado, J. S. Reparaz, J. Li, L. Pan, C. F. Faul, I. P. Parkin and G. Sankar, Adv. Funct. Mater., 2020, 30, 2003106 CrossRef CAS.
  35. S. Alvarez, R. Vicente and R. Hoffmann, J. Am. Chem. Soc., 1985, 107, 6253–6277 CrossRef CAS.
  36. P. Sheng, Y. Sun, F. Jiao, C. Liu, W. Xu and D. Zhu, Synth. Met., 2014, 188, 111–115 CrossRef CAS.
  37. T. Chen, J.-H. Dou, L. Yang, C. Sun, J. J. Oppenheim, J. Li and M. Dincă, J. Am. Chem. Soc., 2022, 144, 5583–5593 CrossRef CAS PubMed.
  38. H. Furukawa, J. Kim, N. W. Ockwig, M. O'Keeffe and O. M. Yaghi, J. Am. Chem. Soc., 2008, 130, 11650–11661 CrossRef CAS PubMed.
  39. J. Xiao, J. Han, C. Zhang, G. Ling, F. Kang and Q. H. Yang, Adv. Energy Mater., 2022, 12, 2100775 CrossRef CAS.
  40. J. Xie, J.-A. Pan, B. Cheng, T. Ma, A. S. Filatov, S. N. Patel, J. Park, D. V. Talapin and J. S. Anderson, J. Am. Chem. Soc., 2022, 144, 19026–19037 CrossRef CAS PubMed.
  41. T. Chen, J.-H. Dou, L. Yang, C. Sun, N. J. Libretto, G. Skorupskii, J. T. Miller and M. Dincă, J. Am. Chem. Soc., 2020, 142, 12367–12373 CrossRef CAS PubMed.
  42. D. Sheberla, J. C. Bachman, J. S. Elias, C.-J. Sun, Y. Shao-Horn and M. Dincă, Nat. Mater., 2017, 16, 220–224 CrossRef CAS PubMed.
  43. Y. Jiang, I. Oh, S. H. Joo, Y.-S. Seo, S. H. Lee, W. K. Seong, Y. J. Kim, J. Hwang, S. K. Kwak and J.-W. Yoo, J. Am. Chem. Soc., 2020, 142, 18346–18354 CrossRef CAS PubMed.
  44. X. Huang, S. Zhang, L. Liu, L. Yu, G. Chen, W. Xu and D. Zhu, Angew. Chem., 2018, 130, 152–156 CrossRef.
  45. X. Huang, P. Sheng, Z. Tu, F. Zhang, J. Wang, H. Geng, Y. Zou, C.-a. Di, Y. Yi and Y. Sun, Nat. Commun., 2015, 6, 7408 CrossRef CAS PubMed.
  46. P. M. Crossland, C.-Y. Lien, L. O. de Jong, J. L. Spellberg, M. E. Czaikowski, L. Wang, A. S. Filatov, S. B. King and J. S. Anderson, J. Am. Chem. Soc., 2024, 146, 33608–33615 CrossRef CAS PubMed.
  47. L. Mendecki, M. Ko, X. Zhang, Z. Meng and K. A. Mirica, J. Am. Chem. Soc., 2017, 139, 17229–17232 CrossRef CAS PubMed.
  48. X. Huang, Y. Qiu, Y. Wang, L. Liu, X. Wu, Y. Liang, Y. Cui, Y. Sun, Y. Zou and J. Zhu, Angew. Chem., 2020, 132, 22791–22798 CrossRef.
  49. Y. Kobayashi, T. Terauchi, S. Sumi and Y. Matsushita, Nat. Mater., 2017, 16, 109–114 CrossRef CAS PubMed.
  50. J. T. York, E. C. Brown and W. B. Tolman, Angew. Chem., Int. Ed., 2005, 44, 7745–7748 CrossRef CAS PubMed.
  51. A. Neuba, R. Haase, W. Meyer-Klaucke, U. Flörke and G. Henkel, Angew. Chem., Int. Ed., 2012, 51, 1714–1718 CrossRef CAS PubMed.
  52. J. Folmer and F. Jellinek, J. Less-Common Met., 1980, 76, 153–162 CrossRef CAS.
  53. P. Kumar, R. Nagarajan and R. Sarangi, J. Mater. Chem. C, 2013, 1, 2448–2454 RSC.
  54. N. Jiang, J.-N. Boyn, A. Ramanathan, H. S. La Pierre and J. S. Anderson, Chem. Commun., 2023, 59, 9537–9540 RSC.
  55. T. Petrenko, K. Ray, K. E. Wieghardt and F. Neese, J. Am. Chem. Soc., 2006, 128, 4422–4436 CrossRef CAS PubMed.
  56. S. Mugiraneza and A. M. Hallas, Commun. Phys., 2022, 5, 95 CrossRef.
  57. S. Stoll and A. Schweiger, J. Magn. Reson., 2006, 178, 42–55 CrossRef CAS PubMed.
  58. R. Kirmse, S. Saluschke, S. Ritter and W. Dietzsch, Z. Anorg. Allg. Chem., 1993, 619, 576–582 CrossRef CAS.
  59. G. Kresse and J. Hafner, Phys. Rev. B: Condens. Matter Mater. Phys., 1993, 47, 558 CrossRef CAS PubMed.
  60. G. Kresse and J. Furthmüller, Comput. Mater. Sci., 1996, 6, 15–50 CrossRef CAS.
  61. G. Kresse and J. Furthmüller, Phys. Rev. B: Condens. Matter Mater. Phys., 1996, 54, 11169 CrossRef CAS PubMed.
  62. J. P. Perdew, K. Burke and M. Ernzerhof, Phys. Rev. Lett., 1996, 77, 3865 CrossRef CAS PubMed.
  63. G. Kresse and J. Hafner, J. Condens Matter. Phys., 1994, 6, 8245 CrossRef CAS.
  64. G. Kresse and D. Joubert, Phys. Rev. B: Condens. Matter Mater. Phys., 1999, 59, 1758 CrossRef CAS.
  65. Y. Hinuma, G. Pizzi, Y. Kumagai, F. Oba and I. Tanaka, Comput. Mater. Sci., 2017, 128, 140–184 CrossRef CAS.
  66. A. Togo, K. Shinohara and I. Tanaka, Sci. Technol. Adv. Mater.: Methods, 2024, 4, 2384822 Search PubMed.
  67. A. H. Larsen, J. J. Mortensen, J. Blomqvist, I. E. Castelli, R. Christensen, M. Dułak, J. Friis, M. N. Groves, B. Hammer and C. Hargus, J. Condens Matter. Phys., 2017, 29, 273002 CrossRef PubMed.
  68. S. Grimme, S. Ehrlich and L. Goerigk, J. Comput. Chem., 2011, 32, 1456–1465 CrossRef CAS PubMed.
  69. A. M. Ganose, A. J. Jackson and D. O. Scanlon, J. Open Source Softw., 2018, 3, 717 CrossRef.
  70. T. A. Manz and N. G. Limas, RSC Adv., 2016, 6, 47771–47801 RSC.
  71. N. G. Limas and T. A. Manz, RSC Adv., 2016, 6, 45727–45747 RSC.
  72. T. A. Manz, RSC Adv., 2017, 7, 45552–45581 RSC.
  73. A. Kawamura, J. Xie, J.-N. Boyn, K. A. Jesse, A. J. McNeece, E. A. Hill, K. A. Collins, J. A. Valdez-Moreira, A. S. Filatov, J. W. Kurutz, D. A. Mazziotti and J. S. Anderson, J. Am. Chem. Soc., 2020, 142, 17670–17680 Search PubMed.
  74. L. S. Xie, L. Sun, R. Wan, S. S. Park, J. A. DeGayner, C. H. Hendon and M. Dincă, J. Am. Chem. Soc., 2018, 140, 7411–7414 CrossRef CAS PubMed.
  75. N. Plakida, High-temperature cuprate superconductors: Experiment, theory, and applications, Springer Science & Business Media, 2010 Search PubMed.

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