Which Algorithm Best Propagates the Meyer-Miller-Stock-Thoss Mapping Hamiltonian for Non-Adiabatic Dynamics?

Cook LE, Runeson JE, Richardson JO, Hele TJH

DOI: 10.1021/acs.jctc.3c00709
Published: 2023 Sep 26
Container: Journal of chemical theory and computation
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jctc.3c00709,
  title = {Which Algorithm Best Propagates the Meyer-Miller-Stock-Thoss Mapping Hamiltonian for Non-Adiabatic Dynamics?},
  author = {Cook LE and Runeson JE and Richardson JO and Hele TJH},
  year = {2023},
  journal = {Journal of chemical theory and computation},
  doi = {10.1021/acs.jctc.3c00709},
  url = {https://doi.org/10.1021/acs.jctc.3c00709}
}

RIS

TY  - JOUR
TI  - Which Algorithm Best Propagates the Meyer-Miller-Stock-Thoss Mapping Hamiltonian for Non-Adiabatic Dynamics?
AU  - Cook LE
AU  - Runeson JE
AU  - Richardson JO
AU  - Hele TJH
PY  - 2023
JO  - Journal of chemical theory and computation
DO  - 10.1021/acs.jctc.3c00709
UR  - https://doi.org/10.1021/acs.jctc.3c00709
ER  -

APA

LE, C., JE, R., JO, R., & TJH, H. (2023). Which Algorithm Best Propagates the Meyer-Miller-Stock-Thoss Mapping Hamiltonian for Non-Adiabatic Dynamics?. Journal of chemical theory and computation. https://doi.org/10.1021/acs.jctc.3c00709

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pubmed · retrieved 2026-09-26T06:54:10.904Z