Anti-Kasha emission in DCM-IFC: computational evaluation of the type III separated wavefunction hypothesis
Received
30th January 2026
, Accepted 12th May 2026
First published on 13th May 2026
Abstract
Kasha's rule, which states that the emitting electronic level of a given multiplicity is the lowest excited level of that multiplicity, is central to the understanding of photochemistry, and the exception due to a large (S1–S2) energy gap, exemplified by azulene, is well understood. Over the last few years, examples of large flexible molecules with modest (S1–S2) energy gaps have been reported to show anti-Kasha (AK) emission, and have been rationalised on the basis of highly spatially separated wavefunctions of the two states. Recently, a fluorophore, having such characteristics, was constructed from dicyanomethylene-4H-pyran (DCM) and integrated fluorescein–chromene (IFC), where a spirolactane open/closed switch was shown to regulate AK behaviour. The open form of the molecule illustrated dual emission which was interpreted as emission from both S1 and S2 states. Here, we investigate theoretically both the FC region and the interpolated pathways towards S2/S1-intersection region using implicit solvation. We calculate excited state energies and oscillator strengths employing both time-dependent density functional theory (with a range of functionals) and high-level wavefunction theories, characterising that the S1 state is the brighter of the valence excited states, dominated by locally excited character, whereas the S2 state is of charge-transfer character and is darker in comparison. Our ab initio calculations indicate that the spectral absorption profiles for the two states overlap, and that there are barrierless internal conversion pathways from the FC region on the S2 surface towards the S2/S1-intersection region, which is consistent with efficient and rapid S2 population decay in this molecule making AK emission less likely. Moreover, energy difference between S1 and S2 states at each of the S1 and S2 excited state minima is unlikely to favour thermal equilibration of population at timescales relevant to emission. Taken together, the present calculations suggest that the experimentally observed anomalous emission requires an alternative interpretation.
1 Introduction
Kasha's rule, in its simplest form, states that the emitting electronic level of a given multiplicity is the lowest excited level of that multiplicity.1 Rules are, however, not laws. Kasha and his co-workers already discovered that azulene is an exception to the rule due to a strong anomalous emission from the S2 state.1,2 Advances in theoretical methods and experimental techniques that are capable of following photoinduced molecular dynamics continue to demonstrate several violations of the Kasha rule.3–34 The net result is that there are a range of molecules for which anti-Kasha (AK) behaviour has been proposed, which are reviewed in ref. 35–38. However, controversies exist as to what is interpreted as AK behaviour in certain systems, and whether impurities and/or inhomogeneity in the sample (e.g. multiple or distribution of ground state conformers) or artifacts in the experimental measurement have led to wrong assignments of AK behaviour.37 This is where quantum chemical computations39–41 can play a key role in unraveling the origin of such behaviour, or suggest its absence by explicitly investigating mechanisms for decay from higher excited states.
Recently, Veys et al., with the help of detailed quantum chemical calculations in the gas phase, have categorised AK molecules into three classes depending on the role of electron-vibrational coupling.38 Type I AK compounds consist of azulene-like molecules (e.g. many derivatives of azulene,cycl[3.3.3]azine)4,5 that have a large energy gap (>1.0 eV) between the S1 and S2 states. This large energy gap is assumed to be the origin of anomalous emission from S2, as it inhibits the S2/S1 internal conversion (IC) making radiative emission from S2 kinetically competitive with IC. Type II AK compounds consist of molecules where the (S2–S1) energy gap is very small, of the order of kBT, allowing for thermal repopulation of the S2 state after IC to S1. Examples of type II AK compounds are pyrene24,32 and benzopyrene.6 Types I and II AK compounds fall into strong electronic coupling regime between S1 and S2, however, type I has weak vibrational coupling, whilst type II has strong vibrational coupling. Nonetheless, there is another class of AK molecules that is not characterised by a large energy gap of (S2–S1) or thermal equilibrium of the population between the S1 and S2 states, and does not fit the traditional AK picture. Type III AK compounds consist of molecules characterised by the weak non-adiabatic coupling regime as the S1 and S2 wavefunctions are highly spatially separated. Demonstrating AK behaviour in such systems would have important implications for photonics and photochemistry. For instance, a much wider energy range of excited states could be exploited for electron injection in photovoltaic cells, and higher triplet states might be employed as sources for thermally activated delayed fluorescence, as utilised in light emitting diodes. One such type of compound is the coumarin-pyranone dyad system, the first ratiometric fluorescent probe that can reversibly detect intracellular hydropersulfide levels in living cells.42 Recent quantum dynamical simulations of this dyad system,43 however, show that the decay of S2 state occurs in ∼150 fs, two orders of magnitude faster than calculated in ref. 38, assuming Förster resonance energy transfer. Not long ago, several other Type III AK systems having the same building block have been claimed to illustrate AK behaviour and proposed as fluorescent probes.22 The present study is concerned with understanding the origin and mechanism of such behaviour in these type III AK compounds, especially, in the common building block of such systems.
The aforementioned common molecular building block that falls into type III AK systems, consists of a dicynomethylene-4H-pyran (DCM) and an integrated fluorescein with chromene (IFC) chromophores. Although the DCM and IFC units individually illustrate conventional Kasha-like behaviour, the DCM-IFC fluorophores (see Fig. 1) have been proposed to exhibit an unusual dual emission, regulated via a spirolactane open/closed switch, discovered by Shi et al.22 The near-infrared emission signal with maximum response at 700 nm (interpreted to arise from S1) from DCM-IFC remains nearly constant, whilst the emission signal at 520 nm (interpreted to arise from S2) shows a monotonic increase with analyte concentration for the open form. The aforementioned emissions were excitation-dependent and the dual emission was also claimed to not stem from impurities or molecular aggregations. Femtosecond transient absorption spectroscopy was interpreted to show a picosecond lifetime internal conversion between S2 and S1, whilst the S2 state survived for ∼45 ps.22 This is much faster than the typical radiative lifetime of spontaneous emission,1 but much longer than a typical S2 lifetime. In a subsequent article by some of the same authors, transient absorption along with with tunable blue-side femtosecond simulated Raman spectroscopy was performed, which was interpreted to propose a S2/S1 internal conversion lifetime of ∼1.3 ps with hydrogen out-of-plane modes influencing the internal conversion rate.44 Thus, it was proposed that S2 emission can compete with internal conversion between the S2 and S1 states. However, assuming an exponential decay with a lifetime of 1 ps (or 1.3 ps), only 36.8% of the initial population will remain in the S2 state by 1 ps (or 1.3 ps), the majority already reaching the S1 state; there will be no S2 state population after 10 ps. Thus, it is difficult to rationalise how a non-negligible S2 fluorescence signal could arise from a state with an estimated emission lifetime of ∼45 ps. Moreover, the (S2–S1) state energy difference at the respective geometric minima was calculated to be 0.74 eV, a gap that has been claimed to suppress internal conversion between the two states. However, such a gap was demonstrated to be much larger (>1.0 eV) in azulene and its derivatives (type I), which are prototypical AK emitters.38 Since the energy gap law is an exponential function of the gap, a change from 0.74 to 1.0 eV or more constitutes a large effect. Furthermore, from a purely potential energy surface (PES) perspective, not only the energy gap, but a large barrier in accessing the conical intersection region between the S2 and S1 states is critical, resulting in a competition between the IC and any AK emission from the S2 state.
 |
| | Fig. 1 Molecular structure of DCM-IFC: (a) open form – was proposed to show AK behaviour, and (b) closed form – not proposed to show AK behaviour. Torsions along Cκ–Cλ and Cμ–Cν bonds are relevant to reach conical intersection region (see Section 3.2). | |
In this paper, we have used time-dependent density functional theory (TD-DFT) and single- and multireference electronic structure calculations to investigate whether AK emission is possible in DCM-IFC (open form). Inspired by the words of Sir Arthur Conan Doyle (“When you have eliminated all which is impossible, then whatever remains, however improbable, must be the truth”), we explored several possible situations that could result in AK emission. Our calculations and analysis indicate that AK emission is unlikely in the open form DCM-IFC, with implications that this may be the case for several similar type III compounds.
2 Computational methods
The ground state (S0) of the neutral and anionic (deprotonated) form of DCM-IFC (open) were optimised using DFT45,46 at the M06-2X47/def2-SVP48,49 level of theory using the solvation model based on density (SMD)50 within PCM (polarizable continuum model)51 implicit solvation via integral equation formalism52–54 using water as the solvent in a similar vein to in ref. 22. Similarly, geometry optimisations were performed using TD-DFT on the first (S1) and second (S2) excited states of both neutral and anion form, and were confirmed to represent potential energy minima through vibrational frequency analysis. The S0 state geometry optimisation was also performed at the M06-2X/def2-TZVP/SMD (water), ωB97X-D55/6-31G(d)56,57/PCM (water) and CAM-B3LYP58/6-31G(d)/PCM (water) level for an overall comparison across DFT functionals, basis sets and the implicit solvation models. Vertical excitation energies (VEEs) and oscillator strengths (f) were calculated for the first two excited states at the S0 state optimised geometry at TD-DFT59–61 level of theory using all the functionals mentioned before for both neutral and anionic forms. The VEE calculations were also improved using the corrected linear response62 (cLR) approach implemented in Gaussian1663 at M06-2X/def2-SVP/SMD (water) level to ensure the ordering of states at the Franck–Condon (FC) region. Moreover, the VEE and oscillator strength calculations were repeated at the single reference density-fitted second-order coupled-cluster64 (CC2) level using Dunning basis sets65 cc-pVDZ and cc-pVTZ and the PCM (water) model and at the multi-reference N-electron valence state perturbation theory66–69 (NEVPT2) level based on a four-state averaged (SA4) complete active space of 8 electrons in 7 orbitals (CAS (8,7)) with the cc-pVDZ basis set and CPCM (conductor-like polarizable continuum model)70 (water) model to ensure the validity of the TD-DFT functionals. The CC2 and NEVPT2 excited state calculations were performed using the S0 state optimised geometry (FC geometry) obtained at the M06-2X/def2-SVP/SMD (water) level.
For absorption spectrum simulations, we employed quantum thermostat ab initio molecular dynamics (QT-AIMD),71,72 as recently proposed,73,74 to sample the ground state at a higher accuracy than harmonic Wigner sampling (harmonic sampling cannot treat low frequency anharmonic degrees of freedom) and AIMD with classical thermostats (does not include zero-point energy of a molecule). QT-AIMD helps address the limitations of both harmonic sampling and classical thermostat AIMD. QT-AIMD was performed at the DFT level using M06-2X/def2-SVP method with water as solvent within SMD model in PCM. The QT-AIMD trajectories were initiated from the corresponding optimised geometries of the neutral and anion, with velocities drawn from a Boltzmann distribution. A time step of ∼0.48 fs (20 a.u.) and QT parameters (GLE drift and diffusion matrices A and C) from the GLE4MD database,75 corresponding to a temperature of 298.15 K, Ns = 6 (additional degrees of freedom), and ħωmax/kBT = 20 (strong-coupling regime). For T = 298.15 K, ωmax = 4114.5 cm−1, and exceeds the highest-frequency normal mode for DCM-IFC (open). We determined the equilibration time of the trajectories by monitoring the convergence of the average kinetic energy.74 From the thermalised trajectories, we extracted 105 samples (every ∼20 fs) for both the neutral and anion of DCM-IFC (open). VEEs and oscillator strengths were calculated for S1 and S2 states at M06-2X/def2-SVP level with SMD (water) model and the VEEs were improved via the cLR approach. The resultant stick spectra from the VEEs and oscillator strengths of S1 and S2 states were convolved with a Gaussian (FWHM = 0.2 eV) to generate absorption spectra for both the neutral and the anionic DCM-IFC (open). All QT-AIMD simulations were carried out using the ABIN code76 interfaced with Gaussian1663 for the electronic-structure calculations. In addition, ground state classical thermostat AIMD were also performed for both neutral and anionic DCM-IFC (open) using M06-2X/def2-SVP method with water as solvent within SMD model in CPCM, thermalised at 298.15 K using ORCA 5.0.4,77 for a comparison with the QT-AIMD generated absorption spectra. 50 independent snapshots (every 20 fs) were collected from the equilibrated AIMD trajectories for both neutral and anionic DCM-IFC (open). VEE and oscillator strengths were calculated for S1 and S2 states at the same level of theory as was done for QT-AIMD sampled geometries and the same FWHM was used for absorption spectrum simulation. Excited state sampling was also performed for S1 and S2 states using QT-AIMD for both neutral and anion of DCM-IFC (open), at the TD-DFT level, using the same functional, basis set, implicit solvation model and same QT parameters, as employed in the ground state QT-AIMD. These QT-AIMD trajectories were initiated from the corresponding excited state optimised geometries at the TD-DFT level. For a detailed discussion of the importance of sampling initial conditions with QT-AIMD, the reader is referred elsewhere.74,78
Optimisation of the minimum-energy conical intersection between S2 and S1 was attempted at the level of TD-DFT with Tamm–Dancoff approximation79 (TDA) using CAM-B3LYP/6-31G(d) with the CPCM (water) method in ORCA 5.0.4. Geometries with electronic degeneracies (not converged, but with energy difference between S2 and S1 of 0.036 eV for neutral and 0.013 eV for anion) were found for DCM-IFC (open). Linear interpolations were carried out in internal coordinates (LIIC) between FC geometry (optimised at M06-2X/def2-SVP/SMD (water)) and the above-mentioned geometries with electronic degeneracy. PESs were constructed along such LIIC at TD-DFT/M06-2X/def2-SVP/SMD(water), CC2/cc-pVDZ/PCM(water) and NEVPT2/SA4-CAS(8,7)/cc-pVDZ/CPCM(water). LIICs were also constructed between S2 optimised geometries and the above-mentioned geometries with electronic degeneracy, for both neutral and anion, with PES calculated at TD-DFT/M06-2X/def2-SVP/SMD(water) level.
TD-DFT, CC2 and NEVPT2 single point calculations were performed using Gaussian16,63 MRCC80,81 and ORCA5.0.477 packages, respectively.
3 Results and discussions
3.1 Does 480 nm pump excite the S2 state?
Shi et al. excited the open form of DCM-IFC at 480 nm (2.58 eV) and the closed form of DCM-IFC at 560 nm (2.21 eV).22 Excitation of the open form has been proposed to lead to dual emission at 520 (2.38 eV) and 700 nm (1.77 eV), with emission at 520 nm interpreted to be of AK origin. According to their S1 and S2 state geometry optimisations at TD-M06-2X/def2-SVP/SMD(water) level, these observed emission bands correspond to the energy difference between S1 and S0, and S2 and S0, at the S1 and S2 state minima, respectively. The VEEs for S2 and S1 at the FC region was reported to lie in the region of 485 nm and 563 nm based on the optimised geometry and energy calculated at (TD)-PBE0/6-311+G(d,p)/PCM level.44 Natural transition orbital calculations22 at both the minima illustrate that the S0 → S1 transition corresponds to a locally excited state (electron and hole being on the same part of the chromophore) and S0 → S2 transition corresponds to a charge-transfer state (electron and hole being on different parts of the chromophore). Nonetheless, a locally excited state is generally the bright state with high oscillator strength due to high degree of spatial overlap of molecular orbitals, whilst a charge-transfer state has a low oscillator strength due to low degree of spatial overlap of molecular orbitals. If the transitions correspond to the same character at the FC region, that would lead to S1 being a bright state and S2 being a comparatively darker state. Hence, it becomes important to investigate which state is excited in DCM-IFC (open) via a 480 nm pulse, before exploring whether AK emission can be realised in this molecule.
3.1.1 Vertical excitation energies and oscillator strengths. In solution, DCM-IFC(open) can exist both as neutral and anion depending on the pH of the buffer (although at low pH, it exists as the closed form). We have thus calculated the VEEs and oscillator strengths of both neutral and anion forms using TD-DFT method with several functionals and also using high-level density-fitted CC2 theory. The hybrid meta generalised gradient approximation (GGA) funtional, M06-2X was originally used in ref. 22, and performs well for charge-transfer states because it includes high exact exchange.82 We use the M06-2X functional and compare it to range-separated hybrid functionals (CAM-B3LYP and ωB97X-D) that are designed to treat charge-transfer states more rigorously.83–86 All of these calculations have been performed using implicit solvation models, as shown in Tables 1 and 2. In these models, the excited states are calculated in presence of solvent polarisation for the ground state via linear response formalism. The specific excited states can then be relaxed to equilibrate with respect to the solvent field.62 Such state-specific corrections have been attempted using the cLR approach to ensure the ordering of the excited states at the FC region.
Table 1 DCM-IFC (open) neutral: VEEs and oscillator strengths (f) associated with the lowest two excited states using implicit solvation models
| Method |
State |
Energy (eV) |
f |
| CC2 VEEs were calculated at the structure optimised using M06-2X/def2-SVP level with SMD (water) and the respective oscillator strengths were obtained using configuration interaction singles (CIS) wavefunctions. For the cLR approach, only the VEEs are corrected and the oscillator strengths were taken from the linear response approach. |
| TD-M06-2X/def2-SVP/SMD (water) |
S1 |
2.552 |
2.06 |
| S2 |
3.050 |
0.17 |
| TD-CAM-B3LYP/6-31G(d)/PCM (water) |
S1 |
2.629 |
2.11 |
| S2 |
3.243 |
0.28 |
| TD-ωB97x-D/6-31G(d)/PCM (water) |
S1 |
2.668 |
2.17 |
| S2 |
3.308 |
0.36 |
| TD-M06-2X/def2-TZVP/SMD (water) |
S1 |
2.489 |
2.03 |
| S2 |
3.013 |
0.19 |
| CC2/cc-pVDZ/PCM (water)a |
S1 |
2.591 |
2.67 |
| S2 |
2.976 |
0.61 |
| CC2/cc-pVTZ/PCM (water)a |
S1 |
2.486 |
2.57 |
| S2 |
2.861 |
0.64 |
| TD-M06-2X/def2-SVP/cLR-SMD (water) |
S1 |
2.614 |
2.06 |
| S2 |
2.838 |
0.17 |
Table 2 DCM-IFC (open) anion: VEEs and oscillator strengths (f) associated with the lowest two excited states using implicit solvation models
| Method |
State |
Energy (eV) |
f |
| CC2 VEEs were calculated at the structure optimised using M06-2X/def2-SVP level with SMD (water) and the respective oscillator strengths were obtained using CIS wavefunctions. For the cLR approach, only the VEEs are corrected and the oscillator strengths were taken from the linear response approach. |
| TD-M06-2X/def2-SVP/SMD (water) |
S1 |
2.539 |
2.01 |
| S2 |
3.119 |
0.23 |
| TD-CAM-B3LYP/6-31G(d)/PCM (water) |
S1 |
2.601 |
2.03 |
| S2 |
3.330 |
0.42 |
| TD-ωB97x-D/6-31G(d)/PCM (water) |
S1 |
2.642 |
2.08 |
| S2 |
3.352 |
0.42 |
| TD-M06-2X/def2-TZVP/SMD (water) |
S1 |
2.525 |
2.05 |
| S2 |
3.034 |
0.19 |
| CC2/cc-pVDZ/PCM (water)a |
S1 |
2.559 |
2.59 |
| S2 |
3.087 |
0.67 |
| CC2/cc-pVTZ/PCM (water)a |
S1 |
2.456 |
2.51 |
| S2 |
2.961 |
0.68 |
| TD-M06-2X/def2-SVP/cLR-SMD (water) |
S1 |
2.560 |
2.01 |
| S2 |
2.953 |
0.23 |
Levels of theory across different functionals, basis sets and implicit solvents, unanimously show that S1 is the brighter of the two states, by an order of magnitude, for both neutral and anionic forms of DCM-IFC (open). This is also illustrated by dominant orbital contributions at TD-DFT level (shown in Fig. 2) where the S0 → S1 transition corresponds to local excitation and the S0 → S2 transition has charge-transfer character. In addition, the excitation wavelength used in ref. 22, 480 nm (2.58 eV) also corresponds to the locally excited S1 state for all calculations. The charge-transfer S2 state is located approximately 0.5–0.6 eV higher in energy compared to the S1 state at the FC region using TD-DFT functionals and linear response implicit solvation. The same behaviour was also found at the CC2 level. The cLR formalism demonstrates that the gap between S2 and S1 states drop from 0.50 eV in neutral and 0.58 eV in anion (ground state solvation) to 0.22 eV in neutral and 0.39 eV in anion, although the ordering remains the same at the FC region. Our VEE calculations with several methods do not correspond to the VEEs calculated at the PBE0 level (used in ref. 44), and thus we utilise TD-M06-2X level from here on. We note that hybrid GGA functionals such as PBE0 can overstabilise charge-transfer states.87 For completeness, we also performed TDA VEE calculations at the M06-2X/def2-SVP/SMD (water) level, which yield excitation energies that are slightly blue shifted (∼0.1 eV) relative to TD-DFT at the same level, but do not affect the state ordering (see Tables S1 and S2 in the SI). The VEEs and oscillator strengths of the states indicate that the S1 state will have much higher absorption cross section compared to the S2 state, and there is much higher probability that population will be promoted to the S1 state with a 480 nm pulse. Inclusion of an empirical redshift of 0.3–0.5 eV allows for population to be excited to either the S2 states or a mix of S1 and S2 states.
 |
| | Fig. 2 Dominant orbital excitations associated with the lowest two excited electronic states of the neutral form DCM-IFC (open) at TD-M06-2X/def2-SVP level with SMD (water) model. Isovalue = 0.03 a.u. The same orbital excitations are observed for the two excitations of the anionic form. NTOs for both neutral and anion form are also available in the SI, demonstrating the same characters. | |
3.1.2 Simulated absorption spectra. The simulated absorption spectra for neutral and anionic DCM-IFC (open) determined by calculating VEEs (corrected using the cLR formalism) and oscillator strengths at TD-M06-2X/def2-SVP level with SMD (water) model, from QT-AIMD sampling, are shown in Fig. 3. The neutral and the anion spectra have been compared to the experimental absorption spectrum of the DCM-IFC-ester available in ref. 22, and anionic DCM-IFC (open) avalable in ref. 44, respectively. The theoretical spectra were redshifted by 0.17 and 0.16 eV for the neutral and the anion, respectively, to match the experimental maximum. The S2 contribution to the spectrum arises as a shoulder on the neutral DCM-IFC spectrum and as a small peak on the anionic DCM-IFC spectrum, which is in accordance with the energy difference between S1 and S2 at the FC region, with S2 being blue-shifted for the anionic form compared to the neutral form. Benchmarking of theoretical methods has shown that absorption maximum or VEEs calculated via TD-DFT typically overestimate the experimental absorption maximum by 0.2–0.5 eV.82,83,88 This overestimation depends on several aspects such as which functional and/or basis set is used and whether solvation is employed or not. Typically, with range-separated functionals along with implicit solvation models, such shifts are smaller, especially for charge-transfer states. We have shown that the VEEs and oscillator strengths calculated using the M06-2X functional for this system are very similar to those determined with the range-separated hybrid functionals. The empirical shift that we have implemented here (0.17 and 0.16 eV) is consistent with the literature value of overestimation of VEEs.82,83,88 The agreement suggests that a 480 nm pulse will excite population to the S2 state (or excite population to both states). The absorption spectrum simulated after ground state sampling via classical thermostat AIMD (see Fig. S3 of the SI), whilst narrower due to the absence of zero-point energy, allows us to conclude the same. The QT-AIMD generated anion absorption spectrum also has a vibrational structure that is not resolved in the experimental absorption spectrum and also not captured in the spectrum generated via classical thermostat AIMD. The S1 sticks show a progression of ∼0.2 eV (∼1613 cm−1), indicating that C
C stretching modes are responsible for this vibrational structure. To understand the fate of the excited population on S2, we investigate whether S2 is stable and therefore potentially emissive, or whether there are barrierless pathways that exist from the FC region towards S2/S1 conical intersection.
 |
| | Fig. 3 Absorption spectra of the (a) neutral form and the (b) anion form of DCM-IFC (open) simulated from calculating VEEs and oscillator strengths at TD-M06-2X/def2-SVP/SMD (water) level with geometries sampled from QT-AIMD. VEEs were updated using the cLR formalism. The resultant stick spectra were convolved with a Gaussian with FWHM of 0.2 eV and uniformly redshifted by 0.17 and 0.16 eV for the neutral and the anion to match with the experimental absorption maximum of DCM-IFC-ester (open) (digitised and normalised from ref. 22) and anionic DCM-IFC (open) (digitised and normalised from ref. 44), respectively. | |
3.2 Is there a barrier in accessing the S2/S1 intersection region?
Our attempts at conical intersection optimisation between S2 and S1 have suggested two types of intersection. For the neutral form, we have found an intersection region where the main backbone of the molecule stays planar (no torsion along Cμ–Cν), but there is a substantial torsion (θ) of the C–C (Cλ–Cκ) bond (Fig. 1(a)) connecting the COOH group and the dangling phenyl ring. In addition, another intersection region has been located for the anion which is mainly characterised by a substantial torsion (ϕ) (along Cμ–Cν) (Fig. 1(a)) of the two main units of the molecule along with a torsion (θ) of the Cλ–Cκ bond. Since this molecule has ≥210 (213 for neutral and 210 for anion) vibrational degrees of freedom, it is expected that there will be S2/S1-intersections along several other dimensions. Even for smaller organic molecules, several conical intersection regions with distinct nuclear motions are located, and are usually exemplified when conducting non-adiabatic dynamics simulations.78,89–92 Locating additional intersection regions, thus, becomes irrelevant in the present case. Instead, the crucial question is whether there are barrierless pathways that exist along any such intersection from the FC region. The presence of barrierless access to S2/S1-intersection from FC region is expected to facilitate efficient population transfer from S2 to S1, in ultrafast (ps or sub-ps) manner, thereby limiting significant fluorescence from S2.
Our calculations identified such barrierless pathways for both neutral and anion forms, as shown in Fig. 4 and 5, respectively, from the FC region towards the intersection region at all tested levels of theory. A general trend that can be observed (especially from Tables 1 and 2) is that the S2 state is slightly overestimated at the TD-M06-2X level compared to higher level electronic structure methods CC2 and NEVPT2 (and TD-M06-2X level with cLR approach), and thus, the intersection lies substantially closer to the FC region at higher levels of theory compared to TD-M06-2X. The mass-weighted distance illustrates that the S2/S1-intersection region is structurally much closer to the FC region for the neutral compared to the anion (associated with the torsion of around the Cμ–Cν bond). In addition, PES along LIICs between S2 minimum geometry and the S2/S1-intersection region (see Fig. S4 and S5 in the SI), show that the S1 and S2 states are in close proximity to each other along the LIIC. Even though a portion of the excited population may traverse towards the S2 minimum and has a slightly uphill pathway of ≤0.02 eV (negligible) and ≤0.23 eV to reach the intersection from the S2 minimum, for the neutral and anion, respectively, such small energetic increases are not consistent with S2 population decay of the order of ∼45 ps. As discussed above, presence of no barrier towards the intersection region from the FC region suggests efficient population transfer from S2 to S1, on timescales comparable to the ∼1 ps time constant interpreted as internal conversion from S2 to S1 in DCM-IFC (open).22,44
 |
| | Fig. 4 Relative energies (top panel) along LIIC pathways from the FC region to S2/S1 intersection region for the neutral DCM-IFC (open) with the important torsions (dihedral angles) θ (middle panel) and ϕ (bottom panel) along the same LIIC. Energies are calculated relative to the ground state energy at each level of theory at the FC geometry. The θ value for the first LIIC point falls on the positive side of 180° showing a jump in θ between first and second point of the LIIC. However, the difference in θ between these two points is only 3°. | |
 |
| | Fig. 5 Relative energies (top panel) along LIIC pathways from the FC region to S2/S1 intersection region for the anionic DCM-IFC (open) with the important torsions (dihedral angles) θ (middle panel) and ϕ (bottom panel) along the same LIIC. Energies are calculated relative to the ground state energy at each level of theory at the FC geometry. | |
3.3 Is thermal equilibration possible on the excited-state manifold?
As shown in Tables 3 and 4, the emission energies calculated at the S1 and S2 state equilibrium geometries are 1.758 eV (705.3 nm) and 2.419 eV (512.5 nm) for the neutral and 1.755 eV (706.4 nm) and 2.494 eV (497.1 nm) for the anion, respectively. These emission energies agree with the experimental emission reported by Shi et al.22 at 520 and 700 nm, as is also demonstrated in their paper with the calculated values for the anionic form at the exact same level of theory. However, the agreement between the experimental and theoretical emission energies is coincidental. The aforementioned emission energies are calculated using the ground state solvent reaction field, whilst emission ensues from the excited state minimum. Thus, emission energy should be calculated in the solvent reaction field that is created in response to the specific excited state charge distribution. Like before, we use the cLR formalism to calculate the emission energies. This illustrates that the S1 and S2 emission energies are at 2.223 eV (557.7 nm) and 2.304 eV (538.1 nm) for the neutral and at 2.219 eV (558.7 nm) and 2.446 eV (506.9 nm) for the anion. Although the S2 emission still agrees with one of the experimentally measured fluorescence peak in ref. 22, the S1 emission does not. The difference in energy at the S1 and S2 minima in the ground state solvent reaction field is ∼0.7 eV, which is much higher than thermal energy (0.026 eV) at the room temperature. However, the energy differences at the minima after the correction are 0.081 eV for the neutral and 0.227 eV for the anion, much closer to thermal energy at room temperature. Nonetheless, the mass-weighted distance between the S1 and S2 minima is large (8.171 and 9.282 amu1/2 Å for neutral and anion, respectively), showing that the two minima correspond to distinct regions of configuration space. What is therefore most relevant is the energy difference between the excited states evaluated at S1 and S2 minima. Fig. S6 and S7 show that the excited state energy difference is 0.80 and 0.88 eV, much larger than thermal energy at room temperature, for neutral and anion, respectively, at the S1 minimum. Fig. S4 and S5 show that the excited state energy difference is 0.14 and 0.21 eV, still larger than thermal energy at room temperature, for neutral and anion, respectively, at the S2 minimum. In a non-adiabatic dynamics simulation, population may leak back to S2 after being on S1 momentarily, especially because of the excess vibrational energy accessed on reaching S1 from S2, and that the S1 and S2 states are close to one another with rather flat topography near the S2/S1-intersection (Fig. 4 and 5) and along the pathway from the S2 minimum to the S2/S1-intersection (Fig. S4 and S5). This situation was observed in a non-adiabatic dynamics simulation (albeit at a semi-empirical level) for a LPPP5-PMI dyad – a system having highly spatially separated S1 and S2 wavefunctions like DCM-IFC (open).93 Even then, the S2 population decay was found to be ultrafast with a lifetime of 55 fs at 300 K, with no population left on S2 after 300 fs. However, fluorescence typically occurs on nanosecond timescales (albeit ∼45 ps for DCM-IFC(open)22). During such a timescale, no thermal equilibrium is expected between S1 and S2 with such energy differences, especially for the deprotonated (anion) form which dominates the measurement sample.22,44 Excited state sampling using QT-AIMD also illustrate that there is no state character switching at the S1 minimum, whereas state characters switch for a few sample geometries (11% and 5% for neutral and anion, respectively), leading to S2 being brighter, at the S2 minimum (see Fig. S8 and S9 of the SI). This, however, stems from the proximity of the two states at S2 minimum (see Fig. S4 and S5 of the SI). Dynamically, the barrierless pathway towards the S2/S1-intersection region from the FC region is expected to facilitate efficient population transfer from S2 to S1, allowing only a small fraction of the excited population to reach the minimum of the S2 state. Consequently, the likelihood of retaining the bright state population in S2 is significantly reduced (i.e. lower than 11% and 5% for the neutral and anion), especially, for the anionic form of DCM-IFC (open).
Table 3 Calculated emission energies for neutral DCM-IFC (open)
| Method |
Emission state |
Emission energy (eV) |
ΔE (eV) |
| TD-M06-2X/def2-SVP/SMD(water) |
S1 |
1.758 |
0.661 |
| S2 |
2.419 |
|
| TD-M06-2X/def2-SVP/cLR-SMD(water) |
S1 |
2.223 |
0.081 |
| S2 |
2.304 |
|
Table 4 Calculated emission energies for anionic DCM-IFC (open)
| Method |
Emissive state |
Emission energy (eV) |
ΔE (eV) |
| TD-M06-2X/def2-SVP/SMD(water) |
S1 |
1.755 |
0.739 |
| S2 |
2.494 |
|
| TD-M06-2X/def2-SVP/cLR-SMD(water) |
S1 |
2.219 |
0.227 |
| S2 |
2.446 |
|
3.4 On the limitations of the computational approach
Although the present results provide substantial evidence that challenges the previously proposed AK mechanism, we acknowledge several limitations of the computational approach. First, the inference of rapid S2 → S1 internal conversion is based on the apparent absence of energetic barriers and the accessibility of crossing regions, rather than direct simulation of non-adiabatic molecular dynamics. In this respect, non-adiabatic molecular dynamics simulations would be required to explicitly quantify the excited-state population evolution. However, such simulations at a multiconfigurational level of theory remain computationally prohibitive for systems of this size (210 degrees of freedom). Next, the characterisation of the S2/S1-intersection region relies on near-degenerate geometries obtained at the TDA level and linear interpolation paths calculated at TD-DFT level. While these provide useful insight, they do not fully capture the multidimensional nature of conical intersection seams or the associated branching space and therefore cannot uniquely define the relaxation pathway. However, we emphasise the presence of at least one barrierless pathway that is consistent with efficient population transfer from S2 to S1. Finally, solvent effects are treated using implicit models, which may not fully account for specific solute–solvent interactions, particularly in the presence of charge-transfer character. Despite these limitations, the consistent observation across multiple methods is (i) S1 is brighter than S2 in the FC region and (ii) energetically accessible pathways exist toward S2/S1-intersection region. Together, these observations challenge the previously proposed AK interpretation and motivates further experimental and theoretical investigation.
4 Conclusions and outlook
We have investigated the FC region and mapped the pathway towards S2/S1-intersection region from the FC region in the open form of DCM-IFC, a system having high degree of spatial separation between its S1 and S2 wavefunctions which is thus hypothesised and proposed to demonstrate AK emission. Using TD-DFT and high-level electronic structure calculations in presence of implicit solvent models, we have shown that the S1 state, which is locally excited, is the brighter of the lower valence excited states in this molecule, and corresponds closely to the experimental laser pulse used for excitation in ref. 22, and S2 is a charge-transfer state and is much darker in comparison. However, after employing redshifts (to match experimental absorption maxima) to the theoretical spectra of both neutral and anion, it is expected that 480 nm laser pulse will excite population to either the S2 state or both the S1 and S2 states. Nonetheless, barrierless access to the S2/S1-intersection region from the FC region on S2 suggests an efficient, and rapid, S2 population decay, which is inconsistent with sustained AK emission. The energy differences between the S1 and S2 states at the individual S1 and S2 excited state minima are also larger than the thermal energy at room temperature, suggesting that thermal equilibrium between the excited states is unlikely at timescales relevant for fluorescence.
Thus, an alternative assignment for the anomalous emission may need to be considered. Although our results do not provide a definitive explanation for the experimentally observed emission, they indicate that the previously proposed AK interpretation for DCM-IFC (open) may not be supported by the underlying excited-state landscape. Our calculations indicate that the photophysics of DCM-IFC (open) is more complex than previously assumed, suggesting that spatial separation of excited state wavefunctions alone may not fully account for the observed behaviour. If this is already the case for the DCM-IFC building block, then related compounds synthesised using this motif and employed for ratiometric sensing may likewise exhibit anomalous emission originating from alternative mechanisms. Clarifying the true source of this emission is therefore crucial both for correctly interpreting existing experimental results and for guiding the rational design of future sensing architectures.
Conflicts of interest
There are no conflicts to declare.
Data availability
Supplementary information: additional LIIC pathways, NTO orbitals, active spaces employed, details of excited state sampling via QT-AIMD, and simulated absorption spectra via classical AIMD are provided. See DOI: https://doi.org/10.1039/d6cp00347h.
The Cartesian coordinates of all the critical points on the ground and excited states are provided in the electronic supplementary information (SI).
Acknowledgements
The authors acknowledge support from the Engineering and Physical Sciences Research Council (EPSRC, Award No. EP/Y021525/1). The authors thank Dr Khalid Siddiqui, Dr Claire Jones and Dr Andrew N. Cammidge for helpful discussions. PC also thanks Dr Felix Plasser and Dr Basile Curchod for helpful discussions during a conference. The calculations presented in this paper were carried out on the High-Performance Computing Cluster supported by the Research and Specialist Computing Support service and the Bull group cluster at the University of East Anglia.
References
- M. Kasha, Discuss. Faraday Soc., 1950, 9, 14–19 Search PubMed.
- G. Viswanath and M. Kasha, J. Chem. Phys., 1956, 24, 574–577 Search PubMed.
- S. K. Behera, S. Y. Park and J. Gierschner, Angew. Chem., Int. Ed., 2021, 60, 22624–22638 Search PubMed.
- S. Awuku, S. J. Bradley, K. P. Ghiggino, R. P. Steer, A. L. Stevens, J. M. White and C. Yeow, Chem. Phys. Lett., 2021, 784, 139114 CrossRef CAS.
- W. Leupin and J. Wirz, J. Am. Chem. Soc., 1980, 102, 6068–6075 CrossRef CAS.
- G. Hoytink, Chem. Phys. Lett., 1974, 26, 16–19 Search PubMed.
- N. A. Shekhovtsov and M. B. Bushuev, J. Photochem. Photobiol., A, 2022, 433, 114195 CrossRef CAS.
- D. Malpicci, E. Lucenti, C. Giannini, A. Forni, C. Botta and E. Cariati, Molecules, 2021, 26, 6999 Search PubMed.
- D. Tong, F. Siddique, C. Qian, G. V. Baryshnikov and H. Wu, Dyes Pigm., 2023, 219, 111625 CrossRef CAS.
- N. A. Shekhovtsov, E. B. Nikolaenkova, A. S. Berezin, V. F. Plyusnin, K. A. Vinogradova, D. Y. Naumov, N. V. Pervukhina, A. Y. Tikhonov and M. B. Bushuev, ChemPlusChem, 2021, 86, 1436–1441 CrossRef CAS PubMed.
- D. Malpicci, A. Forni, E. Lucenti, D. Marinotto, D. Maver, V. Lozovan, V. C. Kravtsov, A. Siminel, M. S. Fonari and E. Cariati, Eur. J. Inorg. Chem., 2024, e202400338 CrossRef CAS.
- S. Gao, J. Ding, S. Yu and F. Li, J. Mater. Chem. C, 2023, 11, 6400–6406 RSC.
- J. Franz, M. Oelschlegel, J. P. Zobel, S.-A. Hua, J.-H. Borter, L. Schmid, G. Morselli, O. S. Wenger, D. Schwarzer, F. Meyer and L. González, J. Am. Chem. Soc., 2024, 146, 11272–11288 CAS.
- V. I. Tomin and A. Wodarkiewicz, J. Lumin., 2018, 198, 220–225 CrossRef CAS.
- H. Wang, J. Wang, T. Zhang, Z. Xie, X. Zhang, H. Sun, Y. Xiao, T. Yu and W. Huang, J. Mater. Chem. C, 2021, 9, 10154–10172 RSC.
- H. Imada, M. Imai-Imada, X. Ouyang, A. Muranaka and Y. Kim, J. Chem. Phys., 2022, 157, 104302 CrossRef CAS PubMed.
- Q. Mu, K. Zhang, H. Zou, H. Liu, Y. Song, C.-K. Wang, L. Lin and J. Fan, Dyes Pigm., 2022, 205, 110560 Search PubMed.
- X. Zhang, C. Chen, W. Zhang, N. Yin, B. Yuan, G. Zhuang, X.-Y. Wang and P. Du, Nat. Commun., 2024, 15, 2684 Search PubMed.
- W. Xie, W. Huang, J. Li, Z. He, G. Huang, B. S. Li and B. Z. Tang, Nat. Commun., 2023, 14, 8098 Search PubMed.
- I. Sahalianov, R. R. Valiev, R. R. Ramazanov and G. Baryshnikov, J. Phys. Chem. A, 2024, 128, 5138–5145 Search PubMed.
- N. A. Shekhovtsov, S. Vorobeva, E. B. Nikolaenkova, A. A. Ryadun, V. P. Krivopalov, C. Gourlaouen and M. B. Bushuev, Inorg. Chem., 2023, 62, 16734–16751 CrossRef CAS PubMed.
- L. Shi, C. Yan, Z. Guo, W. Chi, J. Wei, W. Liu, X. Liu, H. Tian and W.-H. Zhu, Nat. Commun., 2020, 11, 793 CrossRef CAS PubMed.
- M. Nazari Haghighi Pashaki, C. D. Bösch, F. Garo, A. Blanc, M. Marazzi, A. Rondi, M. Gazzetto, M. Akbarimoosavi, J.-C. Tremblay, S. M. Langenegger, A. Monari, R. Häner, T. Feurer and A. Cannizzo, Angew. Chem., Int. Ed., 2025, 64, e202513001 CrossRef CAS PubMed.
- G. Braun, I. Borges, A. J. A. Aquino, H. Lischka, F. Plasser, S. A. do Monte, E. Ventura, S. Mukherjee and M. Barbatti, J. Chem. Phys., 2022, 157, 154305 CrossRef CAS PubMed.
- Y. Wu, J. Zhang, S. Chen, W. Li, C. Liu, X. Mu, T. Feng, D. Chen, K. Fang, L. Wu, T. Wang and Z. Ge, Laser Photonics Rev., 2024, 18, 2400902 CrossRef CAS.
- B. H. Jhun, D. Y. Jeong, S. Nah, S. Y. Park and Y. You, J. Mater. Chem. C, 2021, 9, 7083–7093 Search PubMed.
- P. Nag, P. Rohila and S. R. Vennapusa, J. Photochem. Photobiol., A, 2024, 448, 115296 CrossRef CAS.
- Z. Zhu, Z. Kuang, L. Shen, S. Wang, X. Ai, A. Abdurahman and Q. Peng, Angew. Chem., 2024, 136, e202410552 CrossRef.
- A. Georgiev, D. Yordanov, N. Vassilev, V. Deneva, D. Nedeltcheva, I. Angelov and L. Antonov, Phys. Chem. Chem. Phys., 2021, 23, 13760–13767 RSC.
- A. Belashov, A. Zhikhoreva, S. Lermontova, T. Lyubova, L. Klapshina, I. Semenova and O. Vasyutinskii, J. Photochem. Photobiol., A, 2025, 458, 115964 Search PubMed.
- V. M. Korshunov, T. N. Chmovzh, A. V. Tsorieva, G. A. Gruzdev, D. M. Rakhimkulov, I. V. Taydakov and O. A. Rakitin, J. Mater. Chem. C, 2024, 12, 19200–19211 RSC.
- M. d O. Bispo, R. Souza Mattos, M. J. Pinheiro, B. C. Garain, P. O. Dral and M. Barbatti, J. Chem. Theory Comput., 2025, 21, 11390–11400 CrossRef CAS PubMed.
- N. A. Shekhovtsov and M. B. Bushuev, J. Mol. Liq., 2025, 425, 127260 CrossRef CAS.
- N. A. Shekhovtsov and M. B. Bushuev, Phys. Chem. Chem. Phys., 2026, 28, 1806–1819 Search PubMed.
- T. Itoh, Chem. Rev., 2012, 112, 4541–4568 Search PubMed.
- A. P. Demchenko, V. I. Tomin and P.-T. Chou, Chem. Rev., 2017, 117, 13353–13381 CrossRef CAS PubMed.
- J. C. Del Valle and J. Catalán, Phys. Chem. Chem. Phys., 2019, 21, 10061–10069 RSC.
- K. Veys and D. Escudero, Acc. Chem. Res., 2022, 55, 2698–2707 CrossRef CAS PubMed.
- X. Zhang, D. Jacquemin, Q. Peng, Z. Shuai and D. Escudero, J. Phys. Chem. C, 2018, 122, 6340–6347 CrossRef CAS.
- K. Veys and D. Escudero, J. Phys. Chem. A, 2020, 124, 7228–7237 CrossRef CAS PubMed.
- Y. Niu, Q. Peng, C. Deng, X. Gao and Z. Shuai, J. Phys. Chem. A, 2010, 114, 7817–7831 CrossRef CAS PubMed.
- R. Kawagoe, I. Takashima and S. Uchinomiya, et al., Chem. Sci., 2017, 8, 1134–1140 RSC.
- N. A. Shekhovtsov and M. B. Bushuev, J. Phys. Chem. Lett., 2025, 16, 9152–9158 CrossRef CAS PubMed.
- J. Wei, Y. Wu, R. Pu, L. Shi, J. Jiang, J. Du, Z. Guo, Y. Huang and W. Liu, J. Phys. Chem. Lett., 2021, 12, 4466–4473 CrossRef CAS PubMed.
- W. Kohn, A. D. Becke and R. G. Parr, J. Phys. Chem., 1996, 100, 12974–12980 CrossRef CAS.
- T. Ziegler, Chem. Rev., 1991, 91, 651–667 Search PubMed.
- Y. Zhao and D. G. Truhlar, Theor. Chem. Acc., 2008, 120, 215–241 Search PubMed.
- F. Weigend and R. Ahlrichs, Phys. Chem. Chem. Phys., 2005, 7, 3297–3305 RSC.
- F. Weigend, Phys. Chem. Chem. Phys., 2006, 8, 1057–1065 RSC.
- A. V. Marenich, C. J. Cramer and D. G. Truhlar, J. Phys. Chem. B, 2009, 113, 6378–6396 CrossRef CAS PubMed.
- J. Tomasi, B. Mennucci and R. Cammi, Chem. Rev., 2005, 105, 2999–3094 CrossRef CAS PubMed.
- E. Cancès, B. Mennucci and J. Tomasi, J. Chem. Phys., 1997, 107, 3032–3041 CrossRef.
- B. Mennucci, E. Cancès and J. Tomasi, J. Phys. Chem. B, 1997, 101, 10506–10517 Search PubMed.
- E. Cancès and B. Mennucci, J. Math. Chem., 1998, 23, 309–326 Search PubMed.
- J.-D. Chai and M. Head-Gordon, Phys. Chem. Chem. Phys., 2008, 10, 6615–6620 RSC.
- A. Petersson, A. Bennett, T. G. Tensfeldt, M. A. Al-Laham, W. A. Shirley and J. Mantzaris, J. Chem. Phys., 1988, 89, 2193–2218 Search PubMed.
- G. Petersson and M. A. Al-Laham, J. Chem. Phys., 1991, 94, 6081–6090 CrossRef CAS.
- T. Yanai, D. P. Tew and N. C. Handy, Chem. Phys. Lett., 2004, 393, 51–57 CrossRef CAS.
- E. Runge and E. K. Gross, Phys. Rev. Lett., 1984, 52, 997 CrossRef CAS.
- R. Bauernschmitt and R. Ahlrichs, Chem. Phys. Lett., 1996, 256, 454–464 Search PubMed.
- F. Furche and R. Ahlrichs, J. Chem. Phys., 2002, 117, 7433–7447 CrossRef CAS.
- M. Caricato, B. Mennucci, J. Tomasi, F. Ingrosso, R. Cammi, S. Corni and G. Scalmani, J. Chem. Phys., 2006, 124, 124520 CrossRef PubMed.
- M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, V. Barone, G. A. Petersson, H. Nakatsuji, X. Li, M. Caricato, A. V. Marenich, J. Bloino, B. G. Janesko, R. Gomperts, B. Mennucci, H. P. Hratchian, J. V. Ortiz, A. F. Izmaylov, J. L. Sonnenberg, D. Williams-Young, F. Ding, F. Lipparini, F. Egidi, J. Goings, B. Peng, A. Petrone, T. Henderson, D. Ranasinghe, V. G. Zakrzewski, J. Gao, N. Rega, G. Zheng, W. Liang, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, K. Throssell, J. A. Montgomery, Jr., J. E. Peralta, F. Ogliaro, M. J. Bearpark, J. J. Heyd, E. N. Brothers, K. N. Kudin, V. N. Staroverov, T. A. Keith, R. Kobayashi, J. Normand, K. Raghavachari, A. P. Rendell, J. C. Burant, S. S. Iyengar, J. Tomasi, M. Cossi, J. M. Millam, M. Klene, C. Adamo, R. Cammi, J. W. Ochterski, R. L. Martin, K. Morokuma, O. Farkas, J. B. Foresman and D. J. Fox, Gaussian 16 Revision B.01, Gaussian Inc., Wallingford CT, 2016 Search PubMed.
- D. Mester, P. R. Nagy and M. Kállay, J. Chem. Phys., 2017, 146, 194102 CrossRef PubMed.
- T. H. Dunning Jr, J. Chem. Phys., 1989, 90, 1007–1023 CrossRef.
- C. Angeli, R. Cimiraglia, S. Evangelisti, T. Leininger and J.-P. Malrieu, J. Chem. Phys., 2001, 114, 10252–10264 CrossRef CAS.
- C. Angeli, R. Cimiraglia and J.-P. Malrieu, Chem. Phys. Lett., 2001, 350, 297–305 CrossRef CAS.
- C. Angeli, R. Cimiraglia and J.-P. Malrieu, J. Chem. Phys., 2002, 117, 9138–9153 CrossRef CAS.
- C. Kollmar, K. Sivalingam, Y. Guo and F. Neese, J. Chem. Phys., 2021, 155, 234104 CrossRef CAS PubMed.
- V. Barone and M. Cossi, J. Phys. Chem. A, 1998, 102, 1995–2001 CrossRef CAS.
- M. Ceriotti, G. Bussi and M. Parrinello, Phys. Rev. Lett., 2009, 102, 020601 CrossRef PubMed.
- M. Ceriotti, G. Bussi and M. Parrinello, J. Chem. Theory Comput., 2010, 6, 1170–1180 CrossRef CAS.
- A. Prlj, E. Marsili, L. Hutton, D. Hollas, D. Shchepanovska, D. R. Glowacki, P. Slavíek and B. F. E. Curchod, ACS Earth Space Chem., 2022, 6, 207–217 CrossRef CAS PubMed.
- A. Prlj, D. Hollas and B. F. E. Curchod, J. Phys. Chem. A, 2023, 127, 7400–7409 CrossRef CAS PubMed.
- gle4md: Generalized Langevin Equations for Molecular Dynamics, https://gle4md.org/.
- D. Hollas, J. Suchan, M. Oncoák, O. Svoboda and P. Slavícek, ABIN, 2021, https://github.com/PHOTOX/ABIN Search PubMed.
- F. Neese, Wiley Interdiscip. Rev.:Comput. Mol. Sci., 2022, 12, e1606 Search PubMed.
- P. Chakraborty, R. C. Couto and N. H. List, J. Phys. Chem. A, 2026, 130, 1090–1103 Search PubMed.
- S. Hirata and M. Head-Gordon, Chem. Phys. Lett., 1999, 314, 291–299 CrossRef CAS.
- D. Mester, P. R. Nagy, J. Csóka, L. Gyevi-Nagy, P. B. Szabó, R. A. Horváth, K. Petrov, B. Hégely, B. Ladóczki and G. Samu, et al., J. Phys. Chem. A, 2025, 129, 2086–2107 CrossRef CAS PubMed.
- M. Kállay, P. R. Nagy, D. Mester, L. Gyevi-Nagy, J. Csóka, P. B. Szabó, Z. Rolik, G. Samu, B. Hégely, B. Ladóczki, K. Petrov, J. Csontos, Á. Ganyecz, I. Ladjánszki, L. Szegedy, M. Farkas, P. D. Mezei, R. A. Horváth and B. D. Lörincz, Mrcc, a quantum chemical program suite written by see https://www.mrcc.hu.
- A. D. Laurent and D. Jacquemin, Int. J. Quantum Chem., 2013, 113, 2019–2039 CrossRef CAS.
- D. Jacquemin, A. Planchat, C. Adamo and B. Mennucci, J. Chem. Theory Comput., 2012, 8, 2359–2372 CrossRef CAS PubMed.
- A. Dreuw, J. L. Weisman and M. Head-Gordon, J. Chem. Phys., 2003, 119, 2943–2946 CrossRef CAS.
- Z.-L. Cai, M. J. Crossley, J. R. Reimers, R. Kobayashi and R. D. Amos, J. Phys. Chem. B, 2006, 110, 15624–15632 Search PubMed.
- C. Halsey-Moore, P. Jena and J. T. McLeskey Jr, Comput. Theor. Chem., 2019, 1162, 112506 Search PubMed.
- É. Brémond, A. Ottochian, Á. J. Pérez-Jiménez, I. Ciofini, G. Scalmani, M. J. Frisch, J. C. Sancho-García and C. Adamo, J. Comput. Chem., 2021, 42, 970–981 CrossRef PubMed.
- D. Jacquemin, E. A. Perpete, I. Ciofini, C. Adamo, R. Valero, Y. Zhao and D. G. Truhlar, J. Chem. Theory Comput., 2010, 6, 2071–2085 Search PubMed.
- M. Barbatti, J. Paier and H. Lischka, J. Chem. Phys., 2004, 121, 11614–11624 CrossRef CAS PubMed.
- W. J. Glover, T. Mori, M. S. Schuurman, A. E. Boguslavskiy, O. Schalk, A. Stolow and T. J. Martnez, J. Chem. Phys., 2018, 148, 164303 Search PubMed.
- P. Chakraborty, Y. Liu, T. Weinacht and S. Matsika, J. Chem. Phys., 2020, 152, 174302 CrossRef CAS PubMed.
- P. Chakraborty, R. C. Couto and N. H. List, J. Phys. Chem. A, 2023, 127, 5360–5373 CrossRef CAS PubMed.
- S. Athanasopoulos, L. Alfonso Hernandez, D. Beljonne, S. Fernandez-Alberti and S. Tretiak, J. Phys. Chem. Lett., 2017, 8, 1688–1694 Search PubMed.
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