PyUNIxMD
PyUNIxMD performs nonadiabatic molecular dynamics simulations to model excited-state electron–nuclear interactions and light–matter processes.
Key Features:
- Object-Oriented Design: Implements an object-oriented architecture for modular code structure and integration with other scientific software.
- Quantum–Classical Dynamics Interface: Supports mixed quantum–classical dynamics enabling correlated electron–nuclear propagation.
- Compatibility with Quantum Chemistry Programs: Provides interfaces to commercial and noncommercial ab initio and semiempirical quantum chemistry programs.
- Nonadiabatic Molecular Dynamics Algorithms: Implements Fewest-switch surface hopping (FSSH) and its derivatives, decoherence-induced surface hopping based on exact factorization (DISH-XF), and coupled-trajectory mixed quantum–classical dynamics (CTMQC).
- Electronic-State Transition Modeling: Simulates nonadiabatic transitions between electronic states driven by nuclear motion for studies of photochemical reactions and energy transfer.
Scientific Applications:
- Material Science: Investigating light–matter interactions and excited-state dynamics in novel materials.
- Chemical Physics: Studying photoactive systems such as molecular motors and other excited-state reaction dynamics.
- Biophysics: Exploring nonadiabatic processes in biological molecules and their excited-state behavior.
Methodology:
Implements mixed quantum–classical dynamics with correlated electron–nuclear propagation and explicit implementations of FSSH (and derivatives), DISH-XF, and CTMQC, with interfaces to ab initio and semiempirical quantum chemistry programs.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, C
- Added:
- 11/22/2021
- Last Updated:
- 11/22/2021
Operations
Publications
Lee IS, Ha J, Han D, Kim TI, Moon SW, Min SK. <scp>PyUNIxMD</scp>: A <scp>Python‐based</scp> excited state molecular dynamics package. Journal of Computational Chemistry. 2021;42(24):1755-1766. doi:10.1002/jcc.26711. PMID:34197646. PMCID:PMC8362049.
DOI: 10.1002/JCC.26711
PMID: 34197646
PMCID: PMC8362049
Funding: - Ulsan National Institute of Science and Technology: 1.190123.01
Links
Repository
https://github.com/skmin-lab/unixmd