Benjamin T Nebgen (Ben Nebgen, Benjamin Nebgen)

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Venues

Nature chemistry

Nature computational science

Nature communications

Nature reviews. Chemistry

Los Alamos National Laboratory

Purdue University (PHD)

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

Affiliation History

Los Alamos National Laboratory Oct 17 2016

United States

Post-Doctoral Researcher :: T-4: PHYS OF CONDENSED MATTER & COMPLEX SYS

University of Southern California Jan 14 2015 - Oct 01 2016

United States

Post-Doctoral Researcher :: Chemistry

Education History

Purdue University Aug 24 2010 - Dec 28 2014

United States

PHD :: Chemistry

Cornell University Aug 01 2006 - May 21 2010

United States

BSC :: Chemistry

Publications

Shuhao Zhang, Małgorzata Zofia Makoś, Ryan B Jadrich, Elfi Kraka, Kipton Barros, Benjamin T Nebgen, Sergei Tretiak, Oleksandr Isaev, Nicholas Lubbers, Richard A Messerly, Justin S Smith
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential. Nature chemistry 16 (5) (2024)
Shuhao Zhang, Małgorzata Zofia Makoś, Ryan B Jadrich, Elfi Kraka, Kipton Barros, Benjamin T Nebgen, Sergei Tretiak, Oleksandr Isaev, Nicholas Lubbers, Richard A Messerly, Justin S Smith
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential. Nature chemistry (2024)
Shuhao Zhang, Małgorzata Zofia Makoś, Ryan B Jadrich, Elfi Kraka, Kipton Barros, Benjamin T Nebgen, Sergei Tretiak, Oleksandr Isaev, Nicholas Lubbers, Richard A Messerly, Justin S Smith
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential. Nature chemistry 16 (5) (2024)
Shuhao Zhang, Małgorzata Zofia Makoś, Ryan B Jadrich, Elfi Kraka, Kipton Barros, Benjamin T Nebgen, Sergei Tretiak, Oleksandr Isaev, Nicholas Lubbers, Richard A Messerly, Justin S Smith
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential. Nature chemistry 16 (5) (2024)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (2023)
Nikolay V Tkachenko, Anastasiia A Tkachenko, Benjamin T Nebgen, Sergei Tretiak, Alexander I Boldyrev
Neural network atomistic potentials for global energy minima search in carbon clusters. Physical chemistry chemical physics : PCCP (2023)
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)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (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)
Maksim Kulichenko, Justin S Smith, Benjamin T Nebgen, Ying Wai Li, Nikita Fedik, Alexander I Boldyrev, Nicholas Lubbers, Kipton Barros, Sergei Tretiak
The Rise of Neural Networks for Materials and Chemical Dynamics. The journal of physical chemistry letters 12 (26) (2021)
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)
Justin S Smith, Benjamin T Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy C Germann, Saryu Fensin, Kipton Barros
Automated discovery of a robust interatomic potential for aluminum. Nature communications 12 (1) (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)
Roman Zubatyuk, Justin S Smith, Benjamin T Nebgen, Sergei Tretiak, Oleksandr Isaev
Teaching a neural network to attach and detach electrons from molecules. Nature communications 12 (1) (2021)
Guoqing Zhou, Benjamin T Nebgen, Nicholas Lubbers, Walter Malone, Anders M N Niklasson, Sergei Tretiak
Graphics Processing Unit-Accelerated Semiempirical Born Oppenheimer Molecular Dynamics Using PyTorch. Journal of chemical theory and computation 16 (8) (2020)
Justin S Smith, Benjamin T Nebgen, Roman Zubatyuk, Nicholas Lubbers, Christian Devereux, Kipton Barros, Sergei Tretiak, Oleksandr Isaev, Adrian E Roitberg
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning. Nature communications 10 (1) (2019)

Benjamin T Nebgen.css-eqlu8i{font-size:small;padding-left:4px;} (Ben Nebgen, Benjamin Nebgen)

Publication Activity (10 Years)

Top Topics

Top Venues

Benjamin T Nebgen (Ben Nebgen, Benjamin Nebgen)