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BMC Bioinformatics|December 21, 2004
Predicting binding sites of hydrolase-inhibitor complexes by combining several methodsTaner Z Sen, Andrzej Kloczkowski, Robert L Jernigan, et al.Journal of Physics. Condensed Matter : an Institute of Physics Journal|November 9, 2021
Neural network potential for Zr-Rh system by machine learningKun Xie, Chong Qiao, Hong Shen, et al.Proceedings of the National Academy of Sciences of the United States of America|November 14, 2022
Accelerating the discovery of novel magnetic materials using machine learning-guided adaptive feedbackWeiyi Xia, Masahiro Sakurai, Balamurugan Balasubramanian, et al.Journal of Physics. Condensed Matter : an Institute of Physics Journal|May 8, 2015
Solute-solute correlations responsible for the prepeak in structure factors of undercooled Al-rich liquids: a molecular dynamics studyFeng Zhang, Yang Sun, Zhuo Ye, et al.Scientific Reports|September 16, 2014
On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnetsAaron Gilad Kusne, Tieren Gao, Apurva Mehta, et al.Scientific Reports|April 1, 2016
'Crystal Genes' in Metallic Liquids and GlassesYang Sun, Feng Zhang, Zhuo Ye, et al.ACS Applied Materials & Interfaces|June 16, 2016
Zero-Strain Na2FeSiO4 as Novel Cathode Material for Sodium-Ion BatteriesShouding Li, Jianghuai Guo, Zhuo Ye, et al.Journal of the American Chemical Society|September 21, 2024
When van der Waals Met Kagome: A 2D Antimonide with a Vanadium-Kagome NetworkAishwarya Mantravadi, Bradyn C Weaver, Shiya Chen, et al.Nature Communications|June 2, 2017
Ultrafast terahertz snapshots of excitonic Rydberg states and electronic coherence in an organometal halide perovskiteLiang Luo, Long Men, Zhaoyu Liu, et al.ACS Materials Au|September 20, 2022
Path Less Traveled: A Contemporary Twist on Synthesis and Traditional Structure Solution of Metastable LiNi12B8Gourab Bhaskar, Volodymyr Gvozdetskyi, Scott L Carnahan, et al.Pageof 9