Justin Smith - University of California, Los Angeles

基本信息

Career Trajectory

Bio

I'm a postdoctoral scholar at UCLA working with Christian Ratsch. My postdoctoral research is in surfaces and quantum dots. My past, and still ongoing, work is in developing understanding and approximations for thermal density functional theory primarily in collaboration with Kieron Burke. My additional professional interest is in the intersection of science and society.

Research Interests

Papers共 90 篇Author StatisticsCo-AuthorSimilar Experts

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Exploring the Frontiers of Condensed-Phase Chemistry with a General Reactive Machine Learning Potential

Shuhao Zhang,Małgorzata Z. Makoś,Ryan B. Jadrich,Elfi Kraka,Kipton Barros,Benjamin T. Nebgen,Sergei Tretiak,Olexandr Isayev,Nicholas Lubbers,Richard A. Messerly,Justin S. Smith

NATURE CHEMISTRY（2024）

Cited0Views0WOSNATUREBibtex

Machine Learning Potentials with the Iterative Boltzmann Inversion: Training to Experiment

Sakib Matin,Alice E. A. Allen,Justin Smith,Nicholas Lubbers,Ryan B. Jadrich,Richard Messerly,Benjamin Nebgen,Ying Wai Li,Sergei Tretiak,Kipton Barros

JOURNAL OF CHEMICAL THEORY AND COMPUTATIONno. 3 (2024): 1274-1281

Cited0Views0WOSBibtex

Learning Together: Towards Foundation Models for Machine Learning Interatomic Potentials with Meta-Learning

Alice E. A. Allen,Nicholas Lubbers,Sakib Matin,Justin Smith,Richard Messerly,Sergei Tretiak,Kipton Barros

npj Computational Materialsno. 1 (2024)

Cited0Views0WOSNATUREBibtex

Assessment of Dose Rates to Non-Human Biota from Radioactive Discharges from Sellafield Ltd. Using PC-CREAM

Justin Smith,Tracey Anderson,Viktoryia Kliaus

Journal of environmental radioactivity (2023): 107266-107266

Cited1Views0WOSBibtex

Uncertainty Driven Dynamics for Active Learning of Interatomic Potentials

Maksim Kulichenko,Kipton Barros,Nicholas Lubbers,Ying Wai Li,Richard Messerly,Sergei Tretiak,Justin S. Smith,Benjamin Nebgen

Nature computational scienceno. 3 (2023): 230-239

Cited7Views0EIWOSNATUREBibtex

Lightweight and Effective Tensor Sensitivity for Atomistic Neural Networks

Michael Chigaev,Justin S. S. Smith,Steven Anaya,Benjamin Nebgen, Matthew Bettencourt,Kipton Barros,Nicholas Lubbers

JOURNAL OF CHEMICAL PHYSICSno. 18 (2023)

Cited2Views0Bibtex

Extending machine learning beyond interatomic potentials for predicting molecular properties

Nikita Fedik,Roman Zubatyuk,Maksim Kulichenko,Nicholas Lubbers,Justin S. Smith,Benjamin Nebgen,Richard Messerly,Ying Wai Li,Alexander I. Boldyrev,Kipton Barros,Olexandr Isayev,Sergei Tretiak

Nature Reviews Chemistry（2022）

Cited10Views0WOSNATUREBibtex

Publisher Correction: Extending machine learning beyond interatomic potentials for predicting molecular properties

Nikita Fedik,Roman Zubatyuk,Maksim Kulichenko,Nicholas Lubbers,Justin S. Smith,Benjamin Nebgen,Richard Messerly,Ying Wai Li,Alexander I. Boldyrev,Kipton Barros,Olexandr Isayev,Sergei Tretiak

Nature Reviews Chemistryno. 12 (2022): 916-916

Cited0Views0Bibtex

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