Chatipat Lorpaiboon

7PUBLICATIONS
7CO-AUTHORS
Deep learningReaction kinetics and dynamicsStochastic analysis and modellingGeospatial information systems and geospatial data modelling
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Publications (7)

|Aug 10, 2026
Hierarchical geometric deep learning enables scalable analysis of molecular dynamics.

|Apr 16, 2026
Markov State Models for Tracking Reaction Dynamics on Catalytic Nanoparticles.

|Dec 17, 2025
An Exact Multiple-Time-Step Variational Formulation for the Committor and the Transition Rate.

Chatipat Lorpaiboon, Jonathan Weare, Aaron R Dinner

|Jan 28, 2025
Using pretrained graph neural networks with token mixers as geometric featurizers for conformational dynamics.

Zihan Pengmei, Chatipat Lorpaiboon, Spencer C Guo

|Aug 26, 2024
BAD-NEUS: Rapidly converging trajectory stratification.

John Strahan, Chatipat Lorpaiboon, Jonathan Weare

|Feb 23, 2024
Accurate estimates of dynamical statistics using memory.

Chatipat Lorpaiboon, Spencer C Guo, John Strahan

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Frequent Collaborators

6 joint publications

Aaron R Dinner

4 joint publications

Spencer C Guo

4 joint publications

Jonathan Weare

2 joint publications

John Strahan