Benjamin Nebgen - Concepedia

Author

Benjamin Nebgen

Also Known As

Barros, Kipton, Ben Nebgen, Benjamin Nebgen, Benjamin T. Nebgen, Benjamin Tyler Nebgen, Lubbers, Nicholas, Nebgen, Ben, Nebgen, Benjamin, Nebgen, Benjamin T., Nebgen, Benjamin Tyler [Los Alamos National Laboratory]

131

Publications

4.1K

Citations

H-Index

Concepts

All Affiliations

Los Alamos National Laboratory Center for Integrated Nanotechnologies University of Florida Carnegie Mellon University University of Southern California

About

Benjamin Nebgen is an author at Los Alamos National Laboratory specializing in engineering, natural sciences, and computational chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	20	1.6K
2	Natural Sciences	14	17	638
3	Applied Physics	6	6	221
4	Medicine	1	1	137
5	Biostatistics	1	1	815

Benjamin Nebgen

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
Less is more: Sampling chemical space with active learning Justin S. Smith, Benjamin Nebgen, Nicholas Lubbers, The Journal of Chemical Physics Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolData Science	2018	815
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning Justin S. Smith, Benjamin Nebgen, R.I. Zubatyuk, Nature Communications	2019	634
The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules Justin S. Smith, R.I. Zubatyuk, Benjamin Nebgen, Scientific Data	2020	260
Discovering a Transferable Charge Assignment Model Using Machine Learning Andrew E. Sifain, Nicholas Lubbers, Benjamin Nebgen, The Journal of Physical Chemistry Letters Mathematical ProgrammingEngineeringMachine LearningMolecular BiologyComputational Chemistry	2018	137
Transferable Dynamic Molecular Charge Assignment Using Deep Neural Networks Benjamin Nebgen, Nicholas Lubbers, Justin S. Smith, Journal of Chemical Theory and Computation	2018	132
Uncertainty-driven dynamics for active learning of interatomic potentials Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Nature Computational Science	2023	123
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning Justin S. Smith, Benjamin Nebgen, R.I. Zubatyuk, Cluster ComputingEngineeringMachine LearningComputational ChemistryChemistry	2018	117
Teaching a neural network to attach and detach electrons from molecules R.I. Zubatyuk, Justin S. Smith, Benjamin Nebgen, Nature Communications	2021	114
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential Shuhao Zhang, Małgorzata Z. Makoś, Ryan B. Jadrich, Nature Chemistry	2024	107
The Rise of Neural Networks for Materials and Chemical Dynamics Maksim Kulichenko, Justin S. Smith, Benjamin Nebgen, The Journal of Physical Chemistry Letters EngineeringMachine LearningComputational ChemistryChemistryRecurrent Neural Network	2021	95

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