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6 results in Authors: Kipton Barros

Discovering a Transferable Charge Assignment Model Using Machine Learning

Andrew E. Sifain, Nicholas Lubbers, Benjamin T. Nebgen, Justin S. Smith, Andrey Y. Lokhov, Olexandr Isayev, Adrian E. Roitberg, Kipton Barros, Sergei Tretiak

Version 1 posted 22 June 2018

1,445

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Theoretical and Computational Chemistry

Working Paper

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Justin S Smith, Benjamin T. Nebgen, Roman Zubatyuk, Nicholas Lubbers, Christian Devereux, Kipton Barros, Sergei Tretiak, Olexandr Isayev, Adrian Roitberg

Version 2 posted 14 June 2019

4,794

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Theoretical and Computational Chemistry

Working Paper

Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens

Christian Devereux, Justin Smith, Kate Davis, Kipton Barros, Roman Zubatyuk, Olexandr Isayev, Adrian Roitberg

Version 1 posted 07 February 2020

2,931

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Theoretical and Computational Chemistry

Working Paper

The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules

Justin S. Smith, Roman Zubatyuk, Benjamin T. Nebgen, Nicholas Lubbers, Kipton Barros, Adrian Roitberg, Olexandr Isayev, Sergei Tretiak

Version 2 posted 28 April 2020

1,784

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Physical Chemistry

Working Paper

Predicting Phosphorescence Energies and Inferring Wavefunction Localization with Machine Learning

Andrew E. Sifain, Levi Lystrom, Richard A. Messerly, Justin Smith, Benjamin Nebgen, Kipton Barros, Sergei Tretiak, Nicholas Lubbers, Brendan J. Gifford

Version 3 posted 30 June 2021

727

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Theoretical and Computational Chemistry

Working Paper

Exploring the frontiers of chemistry with a general reactive machine learning potential

SHUHAO ZHANG, Małgorzata Makoś, Ryan Jadrich, Elfi Kraka, Kipton Barros, Benjamin Nebgen, Sergei Tretiak, Olexandr Isayev, Nicholas Lubbers, Richard Messerly, Justin Smith

Version 3 posted 17 April 2023

2,236

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6 results in Kipton Barros in Authors: Kipton Barros

Discovering a Transferable Charge Assignment Model Using Machine Learning

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens

The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules

Predicting Phosphorescence Energies and Inferring Wavefunction Localization with Machine Learning

Exploring the frontiers of chemistry with a general reactive machine learning potential

6 results in Authors: Kipton Barros