Article ; Online: Automatic Clustering of Excited-State Trajectories: Application to Photoexcited Dynamics.
Journal of chemical theory and computation
2023 Volume 19, Issue 18, Page(s) 6126–6138
Abstract: We introduce automatic clustering as a computationally efficient tool for classifying and interpreting trajectories from simulations of photo-excited dynamics. Trajectories are treated as time-series data, with the features for clustering selected by ... ...
Abstract | We introduce automatic clustering as a computationally efficient tool for classifying and interpreting trajectories from simulations of photo-excited dynamics. Trajectories are treated as time-series data, with the features for clustering selected by variance mapping of normalized data. The L |
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Language | English |
Publishing date | 2023-09-13 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 1549-9626 |
ISSN (online) | 1549-9626 |
DOI | 10.1021/acs.jctc.3c00776 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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