
PySCES is a highly parallelized PYTHON program to perform nonadiabatic molecular dynamics simulation for large–scale open quantum systems through the Linearized Semiclassical Initial Value Representation (LSC–IVR). Every dynamical variable in a simulation is propagated in phase space as prescribed by LSC-IVR. The electronic structure variables necessary to integrate the equations of motion are provided "on-the-fly" through the interface established between the code and external electronic structure softwares, specifically TeraChem and GAMESS. The current implementation is capable of computing an electronic population correlation function through three different population estimators. For more details, we refer readers to earlier studies: LSC–IVR• W. H. Miller, J. Phys. Chem. A 105, 2942– 2955 (2001)• Q. Shi and E. Geva, J. Chem. Phys. 118, 8173 (2003) On-the-fly implementation of LSC–IVR and different population estimators• K. Miyazaki and N. Ananth, J. Chem. Phys., 159, 124110 (2023)
semiclassical dynamics, quantum dynamics, nonadiabatic dynamics, open quantum systems, Quantum chemistry, molecular dynamics
semiclassical dynamics, quantum dynamics, nonadiabatic dynamics, open quantum systems, Quantum chemistry, molecular dynamics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
