ArticleThe Journal of chemical physics2022
Augmented transition path theory for sequences of events.
Article in The Journal of chemical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- An Expanded Markov State Model-Transition Path Theory Framework for Ion Conduction Reactive Pathways through Membrane Channels.The journal of physical chemistry letters · 2026Article
- Analysis of the Dynamics of a Complex, Multipathway Reaction: Insulin Dimer Dissociation.The journal of physical chemistry. B · 2024Article
- Predicting rare events using neural networks and short-trajectory data.Journal of computational physics · 2023Article
- Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event prediction.The Journal of chemical physics · 2023Article
- Computing transition path theory quantities with trajectory stratification.The Journal of chemical physics · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Transition path theory provides a statistical description of the dynamics of a reaction in terms of local spatial quantities. In its original formulation, it is limited to reactions that consist of trajectories flowing from a reactant set A to a product set B. We extend the basic concepts and principles of transition path theory to reactions in which trajectories exhibit a specified sequence of events and illustrate the utility of this generalization on examples.
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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.