Kipton Barros

ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Venues

The Journal of chemical physics

Nature reviews. Chemistry

Chemical science

Boston University (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Boston University Oct 01 2004 - Jan 01 2009

United States

PHD :: Physics

Carnegie Mellon University Oct 01 1997 - May 01 2001

United States

BSC :: Computer Science

Publications

Michael Chigaev, Justin S Smith, Steven Anaya, Benjamin T Nebgen, Matthew Bettencourt, Kipton Barros, Nicholas Lubbers
Lightweight and effective tensor sensitivity for atomistic neural networks. The Journal of chemical physics 158 (18) (2023)
Nikita Fedik, Roman Zubatyuk, Maksim Kulichenko, Nicholas Lubbers, Justin S Smith, Benjamin T Nebgen, Richard A Messerly, Ying Wai Li, Alexander I Boldyrev, Kipton Barros, Oleksandr Isaev, Sergei Tretiak
Extending machine learning beyond interatomic potentials for predicting molecular properties. Nature reviews. Chemistry 6 (9) (2022)
Nikita Fedik, Roman Zubatyuk, Maksim Kulichenko, Nicholas Lubbers, Justin S Smith, Benjamin T Nebgen, Richard A Messerly, Ying Wai Li, Alexander I Boldyrev, Kipton Barros, Oleksandr Isaev, Sergei Tretiak
Extending machine learning beyond interatomic potentials for predicting molecular properties. Nature reviews. Chemistry 6 (9) (2022)
Tetiana Zubatiuk, Benjamin T Nebgen, Nicholas Lubbers, Justin S Smith, Roman Zubatyuk, Guoqing Zhou, Christopher Koh, Kipton Barros, Oleksandr Isaev, Sergei Tretiak
Machine learned Hückel theory: Interfacing physics and deep neural networks. The Journal of chemical physics 154 (24) (2021)
Andrew E Sifain, Levi Lystrom, Richard A Messerly, Justin S Smith, Benjamin T Nebgen, Kipton Barros, Sergei Tretiak, Nicholas Lubbers, Brendan J Gifford
Predicting phosphorescence energies and inferring wavefunction localization with machine learning. Chemical science 12 (30) (2021)
Nicholas Lubbers, Justin S Smith, Kipton Barros
Hierarchical modeling of molecular energies using a deep neural network. The Journal of chemical physics 148 (24) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kipton Barros