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6 results in Authors: Nicholas Lubbers

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

1,416

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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

673

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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

1,745

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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

4,595

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Citations

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

2,016

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Citations

Theoretical and Computational Chemistry

Working Paper

Linear Graphlet Models for Accurate and Interpretable Cheminformatics

Michael Tynes, Michael G Taylor, Jan Janssen, Daniel J Burrill, Danny Perez, Ping Yang, Nicholas Lubbers

Version 1 posted 26 February 2024

247

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6 results in Nicholas Lubbers in Authors: Nicholas Lubbers

Discovering a Transferable Charge Assignment Model Using Machine Learning

Predicting Phosphorescence Energies and Inferring Wavefunction Localization with Machine Learning

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

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

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

Linear Graphlet Models for Accurate and Interpretable Cheminformatics

6 results in Authors: Nicholas Lubbers