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07/16/2021
Machine-learning Kondo physics using variational autoencoders
We employ variational autoencoders to extract physical insight from a da...
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06/09/2020
Simple and efficient algorithms for training machine learning potentials to force data
Abstract Machine learning models, trained on data from ab initio quantum...
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03/10/2020
Automated discovery of a robust interatomic potential for aluminum
Atomistic molecular dynamics simulation is an important tool for predict...
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09/29/2017
Hierarchical modeling of molecular energies using a deep neural network
We introduce the Hierarchically Interacting Particle Neural Network (HIP...
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11/08/2016
