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Python suite for optimization of stationary points on ground- and excited states PES and determination of reaction paths.
stda program for computing excited states and response functions via simplified TD-DFT methods (sTDA, sTD-DFT, and SF-sTD-DFT)
sTDA-xTB Hamiltonian for ground state
Neural network class for molecular dynamics to predict potential energy, forces and non-adiabatic couplings.
SEMIEMP:Open source code for semiempirical qunatum chemistry calculations
Chebyshev propagator for RT-TDDFT module in NWChem
Kintetic Monte Carlo code to simulate exciton dynamics
This is the code of the paper "Excitations of quantum many-body systems via purified ensembles", Phys. Rev. Lett. 129, 066401 (2022).
Combining SchNet, PaiNN and SHARC – Bridging the Gap between Machine Learning and Photoinduced Dynamics