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Gen Zu — most-cited papers & profile · AI for Science
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·
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Gen Zu
2
papers ·
0
citations ·
0
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Most-cited papers
Non-covalent Interactions at cm$^-1$ Accuracy: Data Efficient Physics-Informed Distillation for Machine Learning Interatomic Potentials
2026
Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks
2026
Top co-authors
Yang Zhang
· 2
and Adrian Del Maestro
· 1
Claudia Felser
· 1
Konstantinos D. Vogiatzis
· 1
Louis Primeau
· 1
Ning Mao
· 1
Shahzad Akram
· 1
Yulin Shen
· 1
Topics
Physics ML
Chemistry
Materials