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Ju Li — most-cited papers & profile · AI for Science
← authors
·
overview
Ju Li
8
papers ·
44
citations ·
0
h-index
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Most-cited papers
Leveraging neural network interatomic potentials for a foundation model of chemistry
2025 · 9 citations
Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
2025 · 2 citations
A Multi-agent Framework for Physical Laws Discovery
2024 · 1 citations
Efficient Crystal Structure Prediction Using Universal Neural Network Potential with Diversity Preservation in Genetic Algorithms
2025
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations
2019
Top co-authors
So Takamoto
· 2
and Mingda Li
· 1
and Tongqi Wen
· 1
Beilin Ye
· 1
Bo Hu
· 1
Bowen Yu
· 1
Chikashi Shinagawa
· 1
David J. Srolovitz
· 1
Hao Tang
· 1
Heather J. Kulik
· 1
Hideaki Imamura
· 1
Katsuhiko Nishimra
· 1
Topics
Materials
Chemistry
Physics ML
Drug Discovery