Vibrational dynamics of TODD-graphene nanosheets via molecular dynamics simulations and machine-learning surrogate models: implications for adaptive nanomechanical devices
- DOI
- 10.1007/s00894-026-06942-x
- Published
- 2026-10-20
- Container
- Journal of Molecular Modeling
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00894-026-06942-x,
title = {Vibrational dynamics of TODD-graphene nanosheets via molecular dynamics simulations and machine-learning surrogate models: implications for adaptive nanomechanical devices},
author = {YaoBin Ke and Bowen Wei},
year = {2026},
journal = {Journal of Molecular Modeling},
doi = {10.1007/s00894-026-06942-x},
url = {https://doi.org/10.1007/s00894-026-06942-x}
}RIS
TY - JOUR TI - Vibrational dynamics of TODD-graphene nanosheets via molecular dynamics simulations and machine-learning surrogate models: implications for adaptive nanomechanical devices AU - YaoBin Ke AU - Bowen Wei PY - 2026 JO - Journal of Molecular Modeling DO - 10.1007/s00894-026-06942-x UR - https://doi.org/10.1007/s00894-026-06942-x ER -
APA
Ke, Y., & Wei, B. (2026). Vibrational dynamics of TODD-graphene nanosheets via molecular dynamics simulations and machine-learning surrogate models: implications for adaptive nanomechanical devices. Journal of Molecular Modeling. https://doi.org/10.1007/s00894-026-06942-x
Source records
- crossref · retrieved 2026-11-09T18:47:08.627Z