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Thomas D Swinburne

Showing results (1-10 of 15) with videos related to

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Physical Review Letters|December 22, 2023
Coarse-Graining and Forecasting Atomic Material Simulations with DescriptorsThomas D Swinburne
Physical Review Letters|April 26, 2018
Unsupervised Calculation of Free Energy Barriers in Large Crystalline SystemsThomas D Swinburne, Mihai-Cosmin Marinica
Journal of Chemical Theory and Computation|March 11, 2020
Defining, Calculating, and Converging Observables of a Kinetic Transition NetworkThomas D Swinburne, David J Wales
Nature Communications|December 7, 2025
Score matching the descriptor density of states for model-agnostic free energy estimationThomas D Swinburne, Clovis Lapointe, Mihai-Cosmin Marinica
Npj Computational Materials|March 16, 2026
Efficient and accurate spatial mixing of machine learned interatomic potentials for materials scienceFraser Birks, Matthew Nutter, Thomas D Swinburne, et al.
The Journal of Chemical Physics|December 31, 2020
Optimal dimensionality reduction of Markov chains using graph transformationDeepti Kannan, Daniel J Sharpe, Thomas D Swinburne, et al.
The Journal of Chemical Physics|October 9, 2020
Rare events and first passage time statistics from the energy landscapeThomas D Swinburne, Deepti Kannan, Daniel J Sharpe, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|May 21, 2023
Analysing ill-conditioned Markov chainsEsmae J Woods, Deepti Kannan, Daniel J Sharpe, et al.
Physical Chemistry Chemical Physics : PCCP|September 21, 2022
Capabilities and limits of autoencoders for extracting collective variables in atomistic materials scienceJacopo Baima, Alexandra M Goryaeva, Thomas D Swinburne, et al.
Scientific Reports|August 24, 2016
Fast, vacancy-free climb of prismatic dislocation loops in bcc metalsThomas D Swinburne, Kazuto Arakawa, Hirotaro Mori, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Physical Review Letters|December 22, 2023
Coarse-Graining and Forecasting Atomic Material Simulations with DescriptorsThomas D Swinburne
Physical Review Letters|April 26, 2018
Unsupervised Calculation of Free Energy Barriers in Large Crystalline SystemsThomas D Swinburne, Mihai-Cosmin Marinica
Journal of Chemical Theory and Computation|March 11, 2020
Defining, Calculating, and Converging Observables of a Kinetic Transition NetworkThomas D Swinburne, David J Wales
Nature Communications|December 7, 2025
Score matching the descriptor density of states for model-agnostic free energy estimationThomas D Swinburne, Clovis Lapointe, Mihai-Cosmin Marinica
Npj Computational Materials|March 16, 2026
Efficient and accurate spatial mixing of machine learned interatomic potentials for materials scienceFraser Birks, Matthew Nutter, Thomas D Swinburne, et al.
The Journal of Chemical Physics|December 31, 2020
Optimal dimensionality reduction of Markov chains using graph transformationDeepti Kannan, Daniel J Sharpe, Thomas D Swinburne, et al.
The Journal of Chemical Physics|October 9, 2020
Rare events and first passage time statistics from the energy landscapeThomas D Swinburne, Deepti Kannan, Daniel J Sharpe, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|May 21, 2023
Analysing ill-conditioned Markov chainsEsmae J Woods, Deepti Kannan, Daniel J Sharpe, et al.
Physical Chemistry Chemical Physics : PCCP|September 21, 2022
Capabilities and limits of autoencoders for extracting collective variables in atomistic materials scienceJacopo Baima, Alexandra M Goryaeva, Thomas D Swinburne, et al.
Scientific Reports|August 24, 2016
Fast, vacancy-free climb of prismatic dislocation loops in bcc metalsThomas D Swinburne, Kazuto Arakawa, Hirotaro Mori, et al.
Pageof 2