Nongnuch Artrith

ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Venues

The Journal of chemical physics

Nature communications

Physical chemistry chemical physics : PCCP

Nature chemistry

Columbia University

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

Affiliation History

Columbia University Jan 1o 2019

United States

Research Scientist :: Chemical Engineering

Publications

Jon López-Zorrilla, Xabier M Aretxabaleta, In Won Yeu, Iñigo Etxebarria, Hegoi Manzano, Nongnuch Artrith
ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training. The Journal of chemical physics 158 (16) (2023)
Jon López-Zorrilla, Xabier M Aretxabaleta, In Won Yeu, Iñigo Etxebarria, Hegoi Manzano, Nongnuch Artrith
ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training. The Journal of chemical physics 158 (16) (2023)
Jon López-Zorrilla, Xabier M Aretxabaleta, In Won Yeu, Iñigo Etxebarria, Hegoi Manzano, Nongnuch Artrith
ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training. The Journal of chemical physics 158 (16) (2023)
Haoyue Guo, Qian Wang, Alexander Urban, Nongnuch Artrith
Artificial Intelligence-Aided Mapping of the Structure-Composition-Conductivity Relationships of Glass-Ceramic Lithium Thiophosphate Electrolytes. Chemistry of materials : a publication of the American Chemical Society 34 (15) (2022)
Jose Antonio Garrido Torres, Vahe Gharakhanyan, Nongnuch Artrith, Tobias Hoffmann Eegholm, Alexander Urban
Augmenting zero-Kelvin quantum mechanics with machine learning for the prediction of chemical reactions at high temperatures. Nature communications 12 (1) (2021)
Nongnuch Artrith, Keith T Butler, François-Xavier Coudert, Seungwu Han, Oleksandr Isaev, Evan Walter Clark Spotte-Smith, Aron Walsh
Best practices in machine learning for chemistry. Nature chemistry 13 (6) (2021)
Michael S Chen, Tobias Morawietz, Hideki Mori, Thomas E Markland, Nongnuch Artrith
AENET-LAMMPS and AENET-TINKER: Interfaces for accurate and efficient molecular dynamics simulations with machine learning potentials. The Journal of chemical physics 155 (7) (2021)
Tobias Morawietz, Nongnuch Artrith
Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications. Journal of computer-aided molecular design 35 (4) (2020)
Huiwen Ji, Alexander Urban, Daniil A Kitchaev, Deok-Hwang Kwon, Nongnuch Artrith, Colin Ophus, Wenxuan Huang, Zijian Cai, Tan Shi, Jae Chul Kim, Haegyeom Kim, Gerbrand Ceder
Hidden structural and chemical order controls lithium transport in cation-disordered oxides for rechargeable batteries. Nature communications 10 (1) (2019)
Nongnuch Artrith, Alexander Urban, Gerbrand Ceder
Constructing first-principles phase diagrams of amorphous LixSi using machine-learning-assisted sampling with an evolutionary algorithm. The Journal of chemical physics 148 (24) (2018)
Nongnuch Artrith, Wutthigrai Sailuam, Sukit Limpijumnong, Alexie M Kolpak
Reduced overpotentials for electrocatalytic water splitting over Fe- and Ni-modified BaTiO3. Physical chemistry chemical physics : PCCP 18 (42) (2018)

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Publication Activity (10 Years)

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Nongnuch Artrith