Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Revising the common understanding of metamagnetism in the molecule-based bisdithiazolyl BDTMe compound

Clàudia Climent ab, Sergi Vela ac, Joaquim Jornet-Somoza ad and Mercè Deumal *a
aSecció Química Física, Dept. Ciència de Materials i Química Física & IQTCUB, Universitat de Barcelona, Martí i Franquès 1, E-08028 Barcelona, Spain. E-mail: merce.deumal@ub.edu
bDepartamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, E-28049 Madrid, Spain
cLaboratory for Computational Molecular Design (LCMD), Institute of Chemical Sciences and Engineering, EPFL, CH-1015 Lausanne, Switzerland
dTheory Department, The Max Planck Institute for the Structure and Dynamics of Matter (MPSD), Bldg. 99 (CFEL), Luruper Chaussee 149, 22761 Hamburg, Germany

Received 24th January 2019 , Accepted 14th May 2019

First published on 31st May 2019


Abstract

The BDTMe molecule-based material is the first example of a thiazyl radical to exhibit metamagnetic behavior. Contrary to the common idea that metamagnetism occurs in low-dimensional systems, it is found that BDTMe magnetic topology consists of a complex 3D network of almost isotropic ferromagnetic spin-ladders that are coupled ferromagnetically and further connected by some weaker antiferromagnetic interactions. Calculated magnetic susceptibility χT(T) data is in agreement with experiment. Calculated M(H) data clearly show the typical sigmoidal shape of a metamagnet at temperatures below 2 K. The calculated critical field becomes more apparent in the dM/dH(H) plot, being in very good agreement with experiment. Our computational study concludes that the magnetic topology of BDTMe is preserved throughout the entire experimental range of temperatures (0–100 K). Accordingly, the ground state is the same irrespective of the temperature at which we study the BDTMe crystal. Revising the commonly accepted understanding of a metamagnet explained as ground state changing from antiferromagnetic to ferromagnetic, the Boltzmann population of the different states is here suggested to be the key concept: at 2 K the ground singlet state has more weight (24%) than at 10 K (1.5%), where excited states have an important role. Changes in the antiferromagnetic interactions that couple the ferromagnetic skeleton of BDTMe will directly affect the population of the distinct states that belong to a given magnetic topology and thus its magnetic response. Accordingly, this strategy could be valid for a wide range of bisdithiazolyl BDT-compounds whose magnetism can be tuned by means of weak antiferromagnetic interactions.


Introduction

New molecular materials with targeted physical properties are an area of current interest from both fundamental and applicative points of view. Molecule-based magnets exhibit a wide variety of bonding and structural motifs. These include one-, two-, and three dimensional (1D, 2D, and 3D, respectively) network structures by variation of metal atoms, organic radicals, and ligands.1 The contemporary challenge to the synthetic chemists is to produce new compounds with pre-assigned magnetic, electrical, and optical properties and, for this, the rational synthetic design is addressed to tune the solid-state structure. The ability to manipulate magnetic coupling and/or charge transfer between spin carriers is thus the key to creating new multifunctional materials.2–4

Neutral heterocyclic radicals containing sulfur/selenium–nitrogen rings, i.e., heterocyclic thiazyl/selenazyl radicals, play important roles in the development of molecule-based functional materials.5–13 In fact, there is a long-lasting interest in the charge transport14–17 and magnetic8,18–20 properties of heterocyclic thiazyl and selenazyl radicals, as the presence of heavy heteroatoms in these systems enhances both intermolecular electronic and magnetic exchange interactions.10,21,22 In such compounds, the crucial component is the conjugated π-electron system. Specifically, the interactions between the π-systems of the radicals play the key role in determining magnetic and electrical properties. Therefore, attempts to modulate the π-interactions among radicals by crystal engineering have been highly pursued.23–27 Within this context, the resonance stabilized bisdithiazolyl framework BDTR1R2 (Fig. 1a) represents an appealing building block.28,29 In particular, bisdithiazolyl units have proved to be ideal candidates to address the challenge of building multi-dimensional magnetism in molecular materials, for which their exposed skeleton allows for intermolecular weak hydrogen bonds and π–π interactions.30 Modification of the axial substituents R1/R2 and the incorporation of selenium have provided a wide range of materials showing both enhanced conductivity12,31–34 and interesting magnetic properties, such as ferromagnetism, ferrimagnetism, antiferromagnetism, metamagnetic behavior, and spin-Peierls transition.32,35–41


image file: c9cp00467j-f1.tif
Fig. 1 (a) BDTR1R2 chemical formula, where BDT stands for the C5N3S4 bisdithiazolyl skeleton, R1 = CH3 and R2 = H. (b) BDTMe monomer spin density distribution (isodensity surface = 0.002 a.u.).

Former experience in bistable dithiazolyl DTA42–46 and multi-orbital semiquinone-bridged bisdithiazolyl XBBO47 compounds triggered us to undertake the study of the bisdithiazolyl compound BDTMe (see Fig. 1a, where R1 = CH3 and R2 = H, whose systematic nomenclature is 4-methyl-4H-bis(1,2,3)dithiazolo(4,5-b:5′,4′-e)pyrid-3-yl radical39), since it is the first example of a thiazyl radical to exhibit metamagnetic behavior. Metamagnetism is a type of magnetic transition displayed by some low-dimensional systems (e.g. displaying chains or layers as main topological motif) with competing magnetic interactions.48 In a metamagnet, the net moments arising from intra-motif interactions are aligned antiparallel as a result of weak inter-motif antiferromagnetic (AFM) interactions to give rise to an AFM state. According to Carlin's book definition of metamagnet, the application of an external magnetic field can break up the AFM ordering and turn the system to a ferromagnetic (FM) state without going through a spin-flop state.48 The Neel temperature (TN) for AFM ordering and the critical field (HC) for the metamagnetic transition are sensitive to the inter-motif interactions. At this point it is fair to comment that, after metamagnetic transition, we will show that the system does not become a FM state. The key concept is instead the competition between AFM and FM interactions that will directly affect the Boltzmann population of the distinct states that belong to the magnetic topology of a given molecular material and, thus, its magnetic response.

Regarding the BDTMe radical, Oakley and co-workers have reported both magnetic measurements (down to 2 K) and high quality crystal properties (at 35 K, 100 K and 293 K).39,49,50 Early magnetic susceptibility (χ) measurements indicated a significant FM surge in χT at low temperatures. In addition, it was reported that below 5 K the material orders ferromagnetically or antiferromagnetically depending on the magnitude of the applied magnetic field. In this paper we have investigated the microscopic Ji magnetic exchange interactions in BDTMe by means of a first-principles bottom-up (FPBU)51,52 procedure using ab initio methods in order to understand its macroscopic magnetic behavior. Hence we use the standard static approach for both the interpretation and the simulation of the magnetic properties of the BDTMe material assuming that these properties can be obtained with a single static configuration (an X-ray resolved structure or, alternatively, an optimized structure). Therefore, using the available X-ray data, we have first characterized the magnetic topology of BDTMe in terms of all significant Ji magnetic interactions. Surprisingly, the magnetic topology is found to be a three-dimensional (3D) Ji-network and does not change drastically as a function of temperature, i.e. it is preserved irrespective of using the crystallographic data at 35 K or 100 K. We have then calculated χT(T) and M(H) and compared our data to experiment in order to assess whether the BDTMe system is well described. Finally, the study of dM/dH(H) as a function of temperature has shed light to why BDTMe behaves as a metamagnet.

Computational details

The first principles bottom-up (FPBU) working strategy follows four steps.51,52 First, one has to select all possible magnetically relevant pairs of radicals in the crystal by analysis of the crystal packing. As for the BDTMe crystal, the pairs of BDTMe radicals have been chosen in terms of the S⋯S distance, since the spin density of this radical is delocalized over S, N and C atoms (see Fig. 1b). Accordingly, only i dimers (di) of BDTMe radicals whose S⋯S distance was shorter than a threshold distance of 8 Å were selected. The choice of the BDTMe pairs has been conducted in order to include all exchange interactions that might be magnetically significant.53

It is then next required the computation of the radical-radical J(di) interaction for each pair of radicals selected in the crystal, referred to as Ji thorough the paper. The microscopic Ji magnetic interaction is evaluated in terms of energy differences. The energy calculations were performed at DFT/UB3LYP54,55 level as implemented in Gaussian.56 The standard 6-311++G(d,p) basis set57–61 was used in all energy calculations.

Once all intrinsic Ji exchange couplings have been computed, one must propose the magnetic topology of the crystal in terms of all non-negligible Ji magnetic interactions. In order to use Statistical Mechanics to calculate the macroscopic magnetic properties of the BDTMe crystal, one needs to select magnetic models. Specifically, the minimal magnetic model space is of crucial importance since it is the smallest set of Ji interactions whose extension along (a, b, c) crystallographic axes would re-generate the whole magnetic topology.

Finally, having chosen the magnetic models, we construct the matrix representation that contains all Ji values required to appropriately parameterize the Heisenberg Hamiltonian. Those resulting parameterized matrices are then fully diagonalized on the space of spin functions of the minimal magnetic model. The energy eigenvalues and corresponding spin numbers are obtained as a result. Those values allow us to calculate the magnetic susceptibility χ(T), heat capacity Cp(T) and magnetization M(H) data for each magnetic model using the corresponding expression provided by Statistical Mechanics.62 Finally the calculated data is compared to the experimentally measured data to make sure the FPBU procedure has worked correctly.

Results and discussion

The X-ray structure of the BDTMe crystal has been characterized at 35 K, 100 K and 293 K.39,49,50 It belongs to the orthorhombic space group P212121 with unit cell parameters a = 3.882 Å, b = 11.911 Å, c = 18.223 Å (at 35 K). The crystal packing was analyzed in terms of the shortest S⋯S distances between pairs of radicals. Only those i dimers (di) whose minimum S⋯S distance was below 8 Å were selected (i.e. with centroid⋯centroid distance set to 11.5 Å). Such criterion suggested 10 possible dimers as candidates to evaluate the Ji exchange interaction between pairs of BDTMe radicals (see inset of Fig. 2 for d1–d10 pairs of radicals within the crystal, and ESI Section S1 for depiction of isolated pairs of radicals and list of most relevant distances).
image file: c9cp00467j-f2.tif
Fig. 2 Views of the crystal packing along: (a) bc plane, and (b) ac plane. Note that all d1–d10 selected pairs of BDTMe radicals are shown (MeN⋯NMe contacts are explicitly depicted). Color code for i dimers (di) is preserved for Ji magnetic interactions (namely, d1 in blue, d2 in turquoise, d3 in green, d4 in red, d5 in purple, d6–d7 in gray, d8 in black, d9 in brown, d10 in yellow).

As mentioned in the Computational Details section, the quantitative estimation of the strength of the Ji magnetic interactions between BDTMe radicals was carried out at unrestricted broken symmetry UB3LYP/6-311++G(d,p) level using the geometry from the experimental crystal structures at 35 K and 100 K. The resulting data are in agreement with previous ab initio studies performed at a different level of theory (see ESI Section S2).39 Here we must stress that experimentally the susceptibility curve dependence over the entire range of temperatures could not be fitted to any model because there is no empirical model suited for the BDTMe magnetic topology here reported. Among the ten potential interactions, only seven had relevant Ji values (see Table 1), irrespective of the experimental X-ray structure (see ESI Section S1 for discussion on value of J magnetic interactions). The strongest calculated interactions (J1, J3 and J4) correspond to FM couplings between pairs of radicals. In particular, J4 interactions give rise to FM π-stacks, which run along the a-axis (in red in Fig. 3). These FM π-stacks are then connected in zigzag by J1 FM interactions (in blue in Fig. 3), resulting in an almost isotropic spin ladder. Those spin ladders, in turn, interact ferromagnetically by means of J3 along the c-axis (in green in Fig. 3), yielding a three-dimensional (3D) FM topology. Note that the weaker J10 FM interaction (in yellow in Fig. 3) also runs along the c-axis. This 3D magnetic network is further coupled by three weaker AFM exchange interactions (J2, J9, and J5 in turquoise, brown and purple in Fig. 3) that are one order of magnitude smaller and connect spin ladders along the ca. b-axis. Therefore, the resulting magnetic topology is a rich network of mainly FM BDTMe⋯BDTMe interactions. However, there are competing weaker AFM contacts that might introduce certain degree of geometrical spin frustration since they cannot possibly satisfy the corresponding AFM coupling (see Fig. 4 for a schematic representation of the spin alignment as a function of the strength of the computed Ji exchange interactions). Let us stress here that this is not the first time we encounter this geometrical spin frustration,47,63 which was found to introduce very interesting features to the studied molecule-based systems. Further, we have proved that the magnetic topology of BDTMe is a 3D network of FM and AFM spin couplings, contrary to the common accepted idea that metamagnetism is a special type of antiferromagnetism occurring in some low-dimensional systems (e.g. displaying chains or layers as topological motif) with competing magnetic interaction. To sum up, according to our results, the 3D magnetic topology is qualitatively preserved at both 35 and 100 K. Therefore, we will proceed studying the magnetic response of the BDTMe crystal using the computational data at 35 K since it is closer to 5 K, below which the material orders ferromagnetically or antiferromagnetically depending on the magnitude of the applied magnetic field.

Table 1 Calculated Ji magnetic interactions between BDTMe radicals using 35 K and 100 K crystallographic data at UB3LYP/6-311++G(d,p) level of theory
Candidate di d(centroid⋯centroid)/Å d(MeN⋯NMe)/Å d min(S⋯S)/Å J i 35K/cm−1 J i 100K/cm−1
d1 8.652 10.039 3.355 5.59 5.78
d2 6.923 7.521 3.337 −0.61 −1.11
d3 9.217 9.583 3.329 2.68 2.48
d4 3.882 3.882 3.779 8.81 4.83
d5 8.222 8.840 5.817 −0.15 −0.14
d6 7.765 7.765 7.367 <|0.05| <|0.05|
d7 10.512 10.746 5.996 <|0.05| <|0.05|
d8 10.247 11.442 6.425 <|0.05| <|0.05|
d9 7.643 8.070 4.310 −0.59 −0.87
d10 9.9462 9.917 3.641 0.69 −0.30



image file: c9cp00467j-f3.tif
Fig. 3 View of the magnetic topology of BDTMe as a function of three dominant FM J4, J1, and J3 interactions, and four weaker magnetic couplings: FM J10 and AFM J2, J9 and J5. For color code see Fig. 2 caption. Note that each BDTMe radical has been replaced by a point site.

image file: c9cp00467j-f4.tif
Fig. 4 (a) View of the magnetic topology parallel to the bc-plane with either FM or AFM labels highlighting the magnetic behavior of the significant exchange interactions. (b) Schematic representation of the spin alignment according to the strength of Ji exchange interactions. The question marks illustrate the geometrical spin frustration encountered by the weakest AFM interactions. In both (a and b) the honeycomb-like connectivity of the main Ji FM interactions between radicals is fully acknowledged.

Due to the complex 3D magnetic topology of BDTMe (Fig. 3), the magnetic building block could not be easily excised. Instead, simple magnetic models were tested (see ESI Section S3) in order to understand the magnetic behavior and offer a more realistic view of the complex 3D system. Eventually, two models were finally chosen (see Fig. 5a), both of them containing 16 radical molecules and the important magnetic interactions collected in Table 1. The first 2(4+4) model accounts for 2 connected spin ladders to consider the effect of the number of π-stacked radicals (a-axis). Each spin ladder has 4-radicals along the rail direction. The second 4(2+2) model accounts for 4 connected spin ladders and is meant to explore the cooperativity introduced by J3. Note that previous studies showed that a 4-radical spin ladder model (i.e. with 2-radicals along the rail) was sufficient as minimal magnetic spin ladder model.51,64,65


image file: c9cp00467j-f5.tif
Fig. 5 (a) Magnetic 2(4+4) and 4(2+2) models. (b) χT(T) plots at H = 0.1 T for the 2(4+4) model (red), the 4(2+2) model (green), and the experimental data (blue) for temperatures from 0–300 K. Inset view a zoom for the 0–50 K range of temperatures.

Comparison between the experimental data and the computed magnetic susceptibility χT as a function of temperature for the two models using Statistical Mechanics is shown in Fig. 5b. In the experimental curve there is a rise in χT below 100 K and a sudden decrease at approximately 5 K. This suggests a FM coupling at high temperatures and the onset of AFM interactions at low temperatures. Both models describe properly χT at high temperatures. However, the low temperature region is not reproduced exactly. Yet, the χT curves evidence the AFM coupling at low temperatures. Therefore, we could say that the high temperature region is described correctly, and there is a reasonable description at low temperatures. For the 2(4+4) model (Fig. 5a, top), the π-stack J4 rail (the strongest FM interaction) and J1 rung interactions propagate. As a consequence, the χT curve rises at higher temperatures compared to the 4(2+2) model (Fig. 5a, bottom). Further, according to Fig. 5b, the slope of the χT curve using the 4(2+2) model resembles much more the experimental curve, although there is a temperature lag to reach the maximum χT value. We believe that the calculated data is shifted by ca. 3 K due to the fact that no periodic boundary conditions could be applied to the magnetic models. Therefore, although the magnetic model has limitations, the analysis of the χT curves enables to conclude that the 4(2+2) model reproduces better the experimental results.

Previous experimental work39 examined the isothermal magnetization at low temperatures for different applied magnetic fields. Below 5 K (the temperature at which the experimental χT data start to drop), the magnetization was observed to increase in the region of H = 6–8 kOe which suggested a field dependence of the magnetic ordering of the FM π-stacks switching from AFM to FM. In order to clarify these results, calculations of the magnetization dependence on the applied magnetic field for different temperatures were carried out for the 4(2+2) model.

In agreement with experiment, a paramagnetic behavior for M(H) is observed at T ≥ 10 K, and the M(H) curve raises more rapidly for T = 6 K (see green and red data in Fig. 6a and b). However, for T = 2 K the magnetization does not reach full saturation at 1 T (H = 10 kOe), as experimentally observed, but at 4 T (see blue data in Fig. 6a). In our simulations, full saturation at 1 K and 0.5 K is reached at ca. 2 T (see purple and turquoise data in Fig. 6a and b). It is at these temperatures that the M(H) curve clearly shows the typical sigmoidal shape, where the M(H) suffers a sudden increase with a small variation of the externally applied magnetic field. This feature became more apparent in the plot of dM/dH versus H (see Fig. 6c), in which the critical field is found to be ca. 0.7 T (HC = 7 kOe instead of the experimental 6 kOe). Note that HC is estimated as an average of the field at which a maximum dM/dH value is reached. We must stress that this behavior is a classic signature of a metamagnetic system for the region between H = 0–1 T.62,66–72 We are convinced that the estimated HC data does not quantitatively reproduce the experimental value due to the fact that no periodic boundary conditions could be applied to the magnetic models.


image file: c9cp00467j-f6.tif
Fig. 6 For the 4(2+2) model, plot of the normalized magnetization as M(H) (a) from −5 T ≤ H ≤ 5 T, (b) zoom in the range −1 to +1 T, and (c) dM/dH(H). All simulations have been performed at five different temperatures, namely at T = 0.5 K (light blue), 1 K (purple), 2 K (blue), 6 K (red), and 10 K (green).

Experimentally, below 6 K and with low applied magnetic fields, it was suggested that the metamagnetic-like transition in BDTMe results from the presence of small AFM interactions among the radical π-stacks which could be considered as 1D FM S = 1/2 chains. At higher fields (above 6 kOe), the direction of the magnetization of alternate chains was found to be reversed by the field. Specifically, all the FM chains became aligned in parallel, thereby producing a ferromagnetically ordered system. Yet we know that the magnetic topology of BDTMe does not consist of FM chains but of a 3D FM network. Therefore, the metamagnetic behavior of BDTMe is related to the presence of AFM interaction within the 3D FM topology of radicals. Also we have worked the magnetic topology out at 35 K and 100 K, and concluded that it is qualitatively preserved irrespective of the BDTMe characterization temperature. Accordingly, since the magnetic topology is the same for temperatures below 35 K, the ground state GS must also be the same irrespective of the temperature at which we study the BDTMe crystal. Therefore, revising the commonly accepted picture of a metamagnet explained as GS changing from AFM to FM, we here propose that it is the Boltzmann population of the different states the key concept: at 2 K the ground singlet S = 0 state has more weight (24%) than at 10 K (1.5%). Therefore at 10 K there is a very large number of excited spin states populated of multiplicity either different than S = 0 (e.g. triplet, quartet, quintuplet, etc.) or alike. Let us stress here that the magnetic behavior of the charge-transfer (HMTTF)[Ni(mnt)2] material was also rationalized solely in terms of the different Boltzmann population of diamagnetic and paramagnetic spin states as the temperature changes.73 For BDTMe, the difference in populations translates into the metamagnetic transition. All these data enable us to conclude that changes in the AFM values of J2, J5 and J9 will directly affect the population of the distinct states that belong to a given magnetic topology. It thus follows that the magnetic response of the BDTMe molecule-based metamagnet can be tuned by means of weak AFM interactions, which we have fully identified. One straightforward way to proceed could be to make minor modifications on the peripheral groups of the bisdithiazolyl unit, investigate the new magnetic responses at low temperature, and analyze how critically does the magnetism and the crystal packing depend on the chemical modifications. However appealing, the manipulation of these AFM interactions is at the very least a massive challenge that goes beyond the scope of this paper.

Conclusions

The BDTMe crystal is unveiled to display a 3D magnetic topology, contrary to the common idea that metamagnetism occurs in low-dimensional system. For BDTMe, the complex 3D network is mainly FM and consists of almost isotropic FM spin-ladders (whose rails are π-stacks of BDTMe radicals along the a-axis) coupled ferromagnetically (along the c-axis), irrespective of the characterization temperature. Besides, some weaker AFM interactions are found within the crystal packing, which are demonstrated to be crucial to understand the magnetic response of the BDTMe molecule-based crystal.

Different magnetic models have been tested in order to reproduce the macroscopic magnetic properties of the crystal (namely, magnetic susceptibility χ and magnetization M as a function of temperature and field, respectively). As a result, the χT(T) curve was not only fully reproduced at high temperatures, but also reasonably well described at low temperatures. In the latter region, our simulations predict a ca. 3 K shift towards lower temperatures compared to experiment referring to the temperature at which the calculated χT(T) data is maximum. Comparison of calculated and experimental M(H) data enables to conclude that the M(H) curve clearly shows the typical sigmoidal shape of a metamagnet at temperatures below ca. 2 K. This feature becomes more apparent in the plot of dM/dH(H), in which the critical field is found to be ca. 0.7 T (7 kOe) in very good agreement with the experimental 6 kOe.

The magnetic topology does not depend on the BDTMe characterization temperature. Accordingly, the ground state is the same irrespective of the temperature at which we study the BDTMe crystal. Revising the commonly accepted understanding of a metamagnet explained as ground state changing from AFM to FM, the Boltzmann population of the different states is suggested to be the key concept: at 2 K the ground singlet state has more weight (24%) than at 10 K (1.5%). This difference in populations translates into the metamagnetic transition for BDTMe molecule-based material. Our data enable us to conclude that changes in the AFM interactions that couple the 3D FM topology will directly affect the population of the distinct states that belong to a given magnetic topology and, in turn, its magnetic response.

From our study, one infers that the metamagnetic behavior in bisdithiazolyl-based materials may be due to the interchain weak interactions, which in the BDTMe case were inter-spin-ladder weak AFM couplings. We believe that this strategy could be valid for a wide range of similar sulfur–nitrogen heterocyclic ring compounds whose magnetism can be thus tuned by means of weak AFM interactions. It is therefore exceedingly important to determine the role of weak interactions over the magnetic behavior of a molecule-base material.

Conflicts of interest

There are no conflicts of interest to declare.

Acknowledgements

Financial support from MINECO MAT2014-54025-P and CTQ2017-87773-P/AEI/FEDER projects, Spanish Structures of Excellence María de Maeztu program through grant MDM-2017-0767, and Catalan DURSI for projects 2014SGR1422 and 2017SGR348 are fully acknowledged. JJS acknowledges funding from the European Union Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 795246-StrongLights.

References

  1. J. S. Miller and D. Gatteschi, Molecule-based Magnets (themed issue), Chem. Soc. Rev., 2011, 40, 3053–3368 RSC.
  2. G. Aromí, D. Aguilà, P. Gamez, F. Luis and O. Roubeau, Chem. Soc. Rev., 2012, 41, 537–546 RSC.
  3. J. Ferrando-Soria, J. Vallejo, M. Castellano, J. Martinez-Lillo, E. Pardo, J. Cano, L. Castro, F. Lloret, R. Ruiz-Garcia and M. Julve, Coord. Chem. Rev., 2017, 339, 17–103 CrossRef CAS.
  4. G. Mínguez Espallargas and E. Coronado, Chem. Soc. Rev., 2018, 47, 533–557 RSC.
  5. T. Chivers, Guide to Chalcogen–Nitrogen Chemistry, World Scientific, 2005 Search PubMed.
  6. F. Palacio, G. Antorrena, M. Castro, R. Burriel, J. M. Rawson, J. N. B. Smith, N. Bricklebank, J. J. Novoa and C. Ritter, Phys. Rev. Lett., 1997, 79, 2336–2339 CrossRef CAS.
  7. T. M. Barclay, A. W. Cordes, N. A. George, R. C. Haddon, M. E. Itkis, M. S. Mashuta, R. T. Oakley, G. W. Patenaude, R. W. Reed, J. F. Richardson and H. Zhang, J. Am. Chem. Soc., 1998, 120, 352–360 CrossRef CAS.
  8. W. Fujita and K. Awaga, Science, 1999, 286, 261–262 CrossRef CAS PubMed.
  9. K. E. Preuss, Dalton Trans., 2007, 2357–2369 RSC.
  10. J. M. Rawson, A. Alberola and A. Whalley, J. Mater. Chem., 2006, 16, 2560–2575 RSC.
  11. L. Beer, J. L. Brusso, R. C. Haddon, M. E. Itkis, R. T. Oakley, R. W. Reed, J. F. Richardson, R. A. Secco and X. Y. Yu, Chem. Commun., 2005, 5745–5747 RSC.
  12. J. L. Brusso, K. Cvrkalj, A. A. Leitch, R. T. Oakley, R. W. Reed and C. M. Robertson, J. Am. Chem. Soc., 2006, 128, 15080–15081 CrossRef CAS PubMed.
  13. O. A. Rakitin and A. V. Zibarev, Asian J. Org. Chem., 2018, 7, 2397–2416 CrossRef CAS.
  14. A. W. Cordes, R. C. Haddon and R. T. Oakley, Adv. Mater., 1994, 6, 798–802 CrossRef CAS.
  15. T. M. Barclay, A. W. Cordes, R. C. Haddon, M. E. Itkis, R. T. Oakley, R. W. Reed and H. Zhang, J. Am. Chem. Soc., 1999, 121, 969–976 CrossRef CAS.
  16. D. Tian, S. M. Winter, A. Mailman, J. W. L. Wong, W. Yong, H. Yamaguchi, Y. Jia, J. S. Tse, S. Desgreniers, R. A. Secco, S. R. Julian, C. Jin, M. Mito, Y. Ohishi and R. T. Oakley, J. Am. Chem. Soc., 2015, 137, 14136–14148 CrossRef CAS PubMed.
  17. H. Oberhofer, K. Reuter and J. Blumberger, Chem. Rev., 2017, 117, 10319–10357 CrossRef CAS PubMed.
  18. A. J. Banister, N. Bricklebank, I. Lavender, J. M. Rawson, C. I. Gregory, B. K. Tanner, W. Clegg, M. R. Elsegood and F. Palacio, Angew. Chem., Int. Ed. Engl., 1996, 35, 2533–2535 CrossRef CAS.
  19. J. L. Brusso, O. P. Clements, R. C. Haddon, M. E. Itkis, A. A. Leitch, R. T. Oakley, R. W. Reed and J. F. Richardson, J. Am. Chem. Soc., 2004, 126, 8256–8265 CrossRef CAS PubMed.
  20. D. Bates, C. M. Robertson, A. A. Leitch, P. A. Dube and R. T. Oakley, J. Am. Chem. Soc., 2018, 140, 3846–3849 CrossRef CAS PubMed.
  21. R. G. Hicks, Org. Biomol. Chem., 2007, 5, 1321–1338 RSC.
  22. F. Breher, Coord. Chem. Rev., 2007, 251, 1007–1043 CrossRef CAS.
  23. J. M. Lu, S. V. Rosokha and J. K. Kochi, J. Am. Chem. Soc., 2003, 125, 12161–12171 CrossRef PubMed.
  24. T. Devic, M. Yuan, J. Adams, D. C. Fredrickson, S. Lee and D. Venkataraman, J. Am. Chem. Soc., 2005, 127, 14616–14627 CrossRef CAS PubMed.
  25. V. Podzorov, Nat. Mater., 2010, 9, 616–617 CrossRef CAS PubMed.
  26. R. G. Hicks, Nat. Chem., 2011, 3, 189–191 CrossRef CAS PubMed.
  27. K. Molcanov, B. Kojic-Prodic, D. Babic, D. Pajic, N. Novosel and K. Zadro, CrystEngComm, 2012, 14, 7958–7964 RSC.
  28. L. Beer, J. L. Brusso, A. W. Cordes, R. C. Haddon, M. E. Itkis, K. Kirschbaum, D. S. MacGregor, R. T. Oakley, A. A. Pinkerton and R. W. Reed, J. Am. Chem. Soc., 2002, 124, 9498–9509 CrossRef CAS PubMed.
  29. A. W. Cordes, R. C. Haddon and R. T. Oakley, Phosphorus, Sulfur Silicon Relat. Elem., 2004, 179, 673–684 CrossRef CAS.
  30. Y. Shuku, Y. Hirai, N. A. Semenov, E. Kadilenko, N. P. Gritsan, A. V. Zibarev, O. A. Rakitin and K. Awaga, Dalton Trans., 2018, 27, 9897–9902 RSC.
  31. A. A. Leitch, X. Yu, S. M. Winter, R. A. Secco, P. A. Dube and R. T. Oakley, J. Am. Chem. Soc., 2009, 131, 7112–7125 CrossRef CAS PubMed.
  32. X. Yu, A. Mailman, P. A. Dube, A. Assoud and R. T. Oakley, Chem. Commun., 2011, 47, 4655–4657 RSC.
  33. J. W. L. Wong, A. Mailman, S. M. Winter, C. M. Robertson, R. J. Holmberg, M. Murugesu, P. A. Dube and R. T. Oakley, Chem. Commun., 2014, 50, 785–787 RSC.
  34. A. Mailman, A. A. Leitch, W. Yong, E. Steven, S. M. Winter, R. C. M. Claridge, A. Assoud, J. S. Tse, S. Desgreniers, R. A. Secco and R. T. Oakley, J. Am. Chem. Soc., 2017, 139, 2180–2183 CrossRef CAS PubMed.
  35. A. A. Leitch, J. L. Brusso, K. Cvrkalj, R. W. Reed, C. M. Robertson, P. A. Dube and R. T. Oakley, Chem. Commun., 2007, 3368–3370 RSC.
  36. C. M. Robertson, D. J. T. Myles, A. A. Leitch, R. W. Reed, B. M. Dooley, N. L. Frank, P. A. Dube, L. K. Thompson and R. T. Oakley, J. Am. Chem. Soc., 2007, 129, 12688–12689 CrossRef CAS PubMed.
  37. C. M. Robertson, A. A. Leitch, K. Cvrkalj, R. W. Reed, D. J. T. Myles, P. A. Dube and R. T. Oakley, J. Am. Chem. Soc., 2008, 130, 8414–8425 CrossRef CAS PubMed.
  38. C. M. Robertson, A. A. Leitch, K. Cvrkalj, D. J. T. Myles, R. W. Reed, P. A. Dube and R. T. Oakley, J. Am. Chem. Soc., 2008, 130, 14791–14801 CrossRef CAS PubMed.
  39. S. M. Winter, K. Cvrkalj, P. A. Dube, C. M. Robertson, M. R. Probert, J. A. K. Howard and R. T. Oakley, Chem. Commun., 2009, 7306–7308 RSC.
  40. K. Lekin, S. M. Winter, L. E. Downie, X. Bao, J. S. Tse, S. Desgreniers, R. A. Secco, P. A. Dube and R. T. Oakley, J. Am. Chem. Soc., 2010, 132, 16212–16224 CrossRef CAS PubMed.
  41. N. J. Yutronkie, D. Bates, P. A. Dube, S. M. Winter, C. M. Robertson, J. L. Brusso and R. T. Oakley, Inorg. Chem., 2019, 58, 419–427 CrossRef CAS PubMed.
  42. C. S. Clarke, J. Jornet, M. Deumal and J. J. Novoa, Polyhedron, 2009, 28, 1614–1619 CrossRef CAS.
  43. C. S. Clarke, J. Jornet-Somoza, F. Mota, J. J. Novoa and M. Deumal, J. Am. Chem. Soc., 2010, 132, 17817–17830 CrossRef CAS PubMed.
  44. S. Vela, A. Sopena, J. Ribas-Arino, J. J. Novoa and M. Deumal, Chem. – Eur. J., 2014, 20, 7083–7090 CrossRef CAS PubMed.
  45. S. Vela, M. Deumal, M. Shiga, J. J. Novoa and J. Ribas-Arino, Chem. Sci., 2015, 6, 2371–2381 RSC.
  46. T. Francese, J. Ribas-Arino, J. J. Novoa, R. W. A. Havenith, R. Broer, C. de Graaf and M. Deumal, Phys. Chem. Chem. Phys., 2018, 20, 20406–20416 RSC.
  47. M. Fumanal and M. Deumal, Phys. Chem. Chem. Phys., 2016, 18, 20738–20749 RSC.
  48. R. L. Carlin, Magnetochemistry, Springer, Berlin–Heidelberg, 1986. See p. 202 for definition of metamagnetism and p. 134 for definition of spin-flop Search PubMed.
  49. L. Beer, J. L. Brusso, A. W. Cordes, E. Goodde, R. C. Haddon, M. E. Itkis, R. T. Oakley and R. W. Reed, Chem. Commun., 2002, 2562–2563 RSC.
  50. L. Beer, J. F. Britten, J. L. Brusso, A. W. Cordes, R. C. Haddon, M. E. Itkis, D. S. MacGregor, R. T. Oakley, R. W. Reed and C. M. Robertson, J. Am. Chem. Soc., 2003, 125, 14394–14403 CrossRef CAS PubMed.
  51. M. Deumal, M. J. Bearpark, J. J. Novoa and M. A. Robb, J. Phys. Chem. A, 2002, 106, 1299–1315 CrossRef CAS.
  52. J. J. Novoa, M. Deumal and J. Jornet-Somoza, Chem. Soc. Rev., 2011, 40, 3182–3212 RSC.
  53. Former studies ref. 39 missed some of the interactions herein taken into account.
  54. A. D. Becke, Phys. Rev. A: At., Mol., Opt. Phys., 1988, 38, 3098–3100 CrossRef CAS.
  55. C. Lee, W. Yang and R. G. Parr, Phys. Rev. B: Condens. Matter Mater. Phys., 1988, 37, 785–789 CrossRef CAS.
  56. M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, J. A. Montgomery, Jr., T. Vreven, K. N. Kudin, J. C. Burant, J. M. Millam, S. S. Iyengar, J. Tomasi, V. Barone, B. Mennucci, M. Cossi, G. Scalmani, N. Rega, G. A. Petersson, H. Nakatsuji, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, M. Klene, X. Li, J. E. Knox, H. P. Hratchian, J. B. Cross, V. Bakken, C. Adamo, J. Jaramillo, R. Gomperts, R. E. Stratmann, O. Yazyev, A. J. Austin, R. Cammi, C. Pomelli, J. W. Ochterski, P. Y. Ayala, K. Morokuma, G. A. Voth, P. Salvador, J. J. Dannenberg, V. G. Zakrzewski, S. Dapprich, A. D. Daniels, M. C. Strain, O. Farkas, D. K. Malick, A. D. Rabuck, K. Raghavachari, J. B. Foresman, J. V. Ortiz, Q. Cui, A. G. Baboul, S. Clifford, J. Cioslowski, B. B. Stefanov, G. Liu, A. Liashenko, P. Piskorz, I. Komaromi, R. L. Martin, D. J. Fox, T. Keith, M. A. Al-Laham, C. Y. Peng, A. Nanayakkara, M. Challacombe, P. M. W. Gill, B. Johnson, W. Chen, M. W. Wong, C. Gonzalez and J. A. Pople, Gaussian 03, Revision C.02, Gaussian, Inc., Wallingford CT, 2004 Search PubMed.
  57. W. J. Hehre, R. Ditchfield and J. A. Pople, J. Chem. Phys., 1972, 56, 2257–2261 CrossRef CAS.
  58. P. C. Hariharan and J. A. Pople, Theor. Chim. Acta, 1973, 28, 213–222 CrossRef CAS.
  59. A. D. McLean and G. S. Chandler, J. Chem. Phys., 1980, 72, 5639–5648 CrossRef CAS.
  60. M. M. Francl, W. J. Pietro, W. J. Hehre, J. S. Binkley, D. J. DeFrees, J. A. Pople and M. S. Gordon, J. Chem. Phys., 1982, 77, 3654–3665 CrossRef CAS.
  61. M. J. Frisch, J. A. Pople and J. S. Binkley, J. Chem. Phys., 1984, 80, 3265–3269 CrossRef CAS.
  62. O. Kahn, Molecular Magnetism, VCH Publishers, New York, 1993, p. 212 for same derivation applied to dinuclear compounds Search PubMed.
  63. S. N. Herringer, M. Deumal, J. Ribas-Arino, J. J. Novoa, C. P. Landee, J. L. Wikaira and M. M. Turnbull, Chem. – Eur. J., 2014, 20, 8355–8363 CrossRef CAS PubMed.
  64. M. Deumal, G. Giorgi, M. A. Robb, M. M. Turnbull, C. P. Landee and J. J. Novoa, Eur. J. Inorg. Chem., 2005, 4697–4706 CrossRef CAS.
  65. A. Shapiro, C. P. Landee, M. M. Turnbull, J. Jornet, M. Deumal, J. J. Novoa, M. A. Robb and W. Lewis, J. Am. Chem. Soc., 2007, 129, 952–959 CrossRef CAS PubMed.
  66. K. Togashi, R. Imachi, K. Tomioka, H. Tsuboi, T. Ishida, T. Nogami, N. Takeda and M. Ishikawa, Bull. Chem. Soc. Jpn., 1996, 69, 2821–2830 CrossRef CAS.
  67. J. P. Sutter, A. Lang, O. Kahn, C. Paulsen, L. Ouahab and Y. Pei, J. Magn. Magn. Mater., 1997, 171, 147–152 CrossRef CAS.
  68. Magnetism: Molecules to Materials, ed. J. S. Miller and M. Drillon, Wiley-VCH, Weinheim, 2001, vol. 2 Search PubMed.
  69. S. Rabaca, R. Meira, L. C. J. Pereira, M. T. Duarte, J. J. Novoa and V. Gama, Inorg. Chim. Acta, 2001, 326, 89–100 CrossRef CAS.
  70. H. Nagashima, S. Fujita, H. Inoue and N. Yoshioka, Cryst. Growth Des., 2004, 4, 19–21 CrossRef CAS.
  71. A. Das, G. M. Rosair, M. S. El Fallah, J. Ribas and S. Mitra, Inorg. Chem., 2006, 45, 3301–3306 CrossRef CAS PubMed.
  72. D. Belo, J. Mendonça, I. C. Santos, L. C. J. Pereira, M. Almeida, J. J. Novoa, C. Rovira, J. Veciana and V. Gama, Eur. J. Inorg. Chem., 2008, 5327–5337 CrossRef CAS.
  73. S. Vela, M. Fumanal and M. Deumal, Dalton Trans., 2015, 44, 608–614 RSC.

Footnote

Electronic supplementary information (ESI) available: Section S1. d1–d10 isolated pairs of BDTMe radicals. Section S2. Comparison between values of Ji from our calculations and from ref. 39. Section S3. Discussion on magnetic models. See DOI: 10.1039/c9cp00467j

This journal is © the Owner Societies 2019
Click here to see how this site uses Cookies. View our privacy policy here.