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PySCES – Python code for Linearized Semi-Classical Dynamics with On-the-fly Electronic Structure

Authors: Myers, Christopher; Miyazaki, Ken; Trepl, Thomas; Ananth, Nandini; Isborn, Christine;

PySCES – Python code for Linearized Semi-Classical Dynamics with On-the-fly Electronic Structure

Abstract

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)

Keywords

semiclassical dynamics, quantum dynamics, nonadiabatic dynamics, open quantum systems, Quantum chemistry, molecular dynamics

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average