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Matthew J Burn

Showing results (1-10 of 4) with videos related to

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Journal of Chemical Theory and Computation|February 9, 2023
Gaussian Process Regression Models for Predicting Atomic Energies and Multipole MomentsMatthew J Burn, Paul L A Popelier
Journal of Computational Chemistry|September 27, 2022
Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulationMatthew J Burn, Paul L A Popelier
The Journal of Chemical Physics|August 11, 2020
Creating Gaussian process regression models for molecular simulations using adaptive samplingMatthew J Burn, Paul L A Popelier
Journal of Computational Chemistry|August 31, 2024
Ichor: A Python library for computational chemistry data management and machine learning force field developmentYulian T Manchev, Matthew J Burn, Paul L A Popelier
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|February 9, 2023
Gaussian Process Regression Models for Predicting Atomic Energies and Multipole MomentsMatthew J Burn, Paul L A Popelier
Journal of Computational Chemistry|September 27, 2022
Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulationMatthew J Burn, Paul L A Popelier
The Journal of Chemical Physics|August 11, 2020
Creating Gaussian process regression models for molecular simulations using adaptive samplingMatthew J Burn, Paul L A Popelier
Journal of Computational Chemistry|August 31, 2024
Ichor: A Python library for computational chemistry data management and machine learning force field developmentYulian T Manchev, Matthew J Burn, Paul L A Popelier
Pageof 1