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职业迁徙
个人简介
Nong is the main developer of the open-source Atomic Energy Network (ænet) , a package for the construction and application of machine learning models for materials science. Her research interests focus on the development and application of first principles and ML methods for the computational discovery of energy materials and for the interpretation of experimental observations.
Nong applies computational methods to understand and design realistic complex materials. A specific research focus is on amorphous and nanostructured materials. To enable the modeling of such complex systems, she develops novel methods and tools that are shared with the scientific community.
Nong applies computational methods to understand and design realistic complex materials. A specific research focus is on amorphous and nanostructured materials. To enable the modeling of such complex systems, she develops novel methods and tools that are shared with the scientific community.
研究兴趣
论文共 66 篇作者统计合作学者相似作者
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Chuntian Cao,Matthew R. Carbone,Cem Komurcuoglu,Jagriti S. Shekhawat, Kerry Sun, Haoyue Guo,Sizhan Liu,Ke Chen,Seong-Min Bak,Yonghua Du,Conan Weiland,Xiao Tong,
Cell Reports Physical Sciencepp.101909, (2024)
arXiv (Cornell University) (2023)
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Hendrik P. Rodenburg,Alexander Mutschke, Lappawat Ngamwongwan,Valerio Gulino,Vasileios Kyriakou,Nathalie Kunkel,Nongnuch Artrith,Peter Ngene
SOLID STATE IONICS (2023): 116384-116384
NATURE PHYSICSno. 2 (2023): 297-297
Lingti Kong,Jielan Li, Lei Sun, Hee Jun Yang,Hongxia Hao,Chi Chen,Nongnuch Artrith,José Antonio Garrido Torres,Ziheng Lu, Yanzi Zhou
arXiv (Cornell University) (2023)
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Nature Physicsno. 2 (2023): 297-297
Jon Lopez-Zorrilla,Xabier M. Aretxabaleta, Inwon Yue,Inigo Etxebarria,Hegoi Manzano,Nongnuch Artrith
arXiv (Cornell University) (2023)
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