Benjamin T Nebgen
13PUBLICATIONS
26CO-AUTHORS
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Publications (13)
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|Nov 21, 2024
Data Generation for Machine Learning Interatomic Potentials and Beyond.Maksim Kulichenko, Benjamin Nebgen, Nicholas Lubbers
|Mar 07, 2024
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential.Shuhao Zhang, Małgorzata Z Makoś, Ryan B Jadrich
|Jan 04, 2024
Uncertainty-driven dynamics for active learning of interatomic potentials.Maksim Kulichenko, Kipton Barros, Nicholas Lubbers
|Sep 15, 2023
Synergy of semiempirical models and machine learning in computational chemistry.Nikita Fedik, Benjamin Nebgen, Nicholas Lubbers
|Jul 25, 2023
Neural network atomistic potentials for global energy minima search in carbon clusters.Nikolay V Tkachenko, Anastasiia A Tkachenko, Benjamin Nebgen
|May 09, 2023
Lightweight and effective tensor sensitivity for atomistic neural networks.Michael Chigaev, Justin S Smith, Steven Anaya
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Frequent Collaborators
12 joint publications
Sergei Tretiak
7 joint publications
Justin S Smith
5 joint publications
Nicholas Lubbers
5 joint publications
Olexandr Isayev
5 joint publications
Richard Messerly
4 joint publications
Maksim Kulichenko
4 joint publications
Kipton Barros
3 joint publications
Nikita Fedik
3 joint publications
Alexander I Boldyrev
2 joint publications
Roman Zubatyuk
