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Kipton Barros

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Machine-learning Kondo physics using variational autoencoders

Jul 16, 2021
Cole Miles, Matthew R. Carbone, Erica J. Sturm, Deyu Lu, Andreas Weichselbaum, Kipton Barros, Robert M. Konik

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Simple and efficient algorithms for training machine learning potentials to force data

Jun 09, 2020
Justin S. Smith, Nicholas Lubbers, Aidan P. Thompson, Kipton Barros

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Automated discovery of a robust interatomic potential for aluminum

Mar 10, 2020
Justin S. Smith, Benjamin Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy Germann, Saryu Fensin, Kipton Barros

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Hierarchical modeling of molecular energies using a deep neural network

Sep 29, 2017
Nicholas Lubbers, Justin S. Smith, Kipton Barros

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Inferring low-dimensional microstructure representations using convolutional neural networks

Nov 08, 2016
Nicholas Lubbers, Turab Lookman, Kipton Barros

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