Multiscale Interpretable Deep-Learning Framework for the Identification and Visualization of Deformation Stages in Molecular Dynamics Trajectory.
- DOI
- 10.1021/acs.jcim.6c01426
- Published
- 2026 Oct 12
- Container
- Journal of chemical information and modeling
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.6c01426,
title = {Multiscale Interpretable Deep-Learning Framework for the Identification and Visualization of Deformation Stages in Molecular Dynamics Trajectory.},
author = {Long Z and Wang X and You L},
year = {2026},
journal = {Journal of chemical information and modeling},
doi = {10.1021/acs.jcim.6c01426},
url = {https://doi.org/10.1021/acs.jcim.6c01426}
}RIS
TY - JOUR TI - Multiscale Interpretable Deep-Learning Framework for the Identification and Visualization of Deformation Stages in Molecular Dynamics Trajectory. AU - Long Z AU - Wang X AU - You L PY - 2026 JO - Journal of chemical information and modeling DO - 10.1021/acs.jcim.6c01426 UR - https://doi.org/10.1021/acs.jcim.6c01426 ER -
APA
Z, L., X, W., & L, Y. (2026). Multiscale Interpretable Deep-Learning Framework for the Identification and Visualization of Deformation Stages in Molecular Dynamics Trajectory.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.6c01426
Source records
- pubmed · retrieved 2026-11-10T11:42:09.732Z