ArticleJournal of chemical theory and computation2023
Automatic Clustering of Excited-State Trajectories: Application to Photoexcited Dynamics.
Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed.
- Article
- The Newton-X platform for mixed quantum-classical dynamics.Physical chemistry chemical physics : PCCP · 2026Article
- The Importance of Going beyond the Independent Atom Model When Predicting UED Signals from Simulations.Journal of chemical theory and computation · 2026Article
- Unsupervised synchronization of molecular dynamics trajectories via graph embedding and time warping.Bioinformatics (Oxford, England) · 2026Article
- DONKEY: A Flexible and Accurate Algorithm for Clustering.Journal of chemical theory and computation · 2025Article
- Ultrafast Photoinduced Dynamics in 1,3-Cyclohexadiene: A Comparison of Trajectory Surface Hopping Schemes†.Journal of chemical theory and computation · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.