Publications

Wenwen Li

Efficient Universal Potential Distillation with Pre-trained Students in LightPFP

NeurIPS2025 AI4Mat

Chemoinformatics / Materials Science

By : Wenwen Li, Nontawat Charoenphakdee, Yong-Bin Zhuang, Yuta Tsuboi, Ryuhei Okuno, So Takamoto

P-DRUM: Post-hoc Descriptor-based Residual Uncertainty Modeling for Machine Learning Potentials

NeurIPS2025 ML4PS

Chemoinformatics / Materials Science

By : Shih-Peng Huang, Nontawat Charoenphakdee, Yuta Tsuboi, Yong-Bin Zhuang, Wenwen Li

Dielectric tensor prediction for inorganic materials using latent information from preferred potential

npj Computational Materials

Chemoinformatics / Materials Science

By : Zetian Mao, Wenwen Li, Jethro Tan

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements

Nature Communications, 2022

Chemoinformatics / Materials Science

By : So Takamoto, Chikashi Shinagawa, Daisuke Motoki, Kosuke Nakago, Wenwen Li, Iori Kurata, Taku Watanabe, Yoshihiro Yayama, Hiroki Iriguchi, Yusuke Asano, Tasuku Onodera, Takafumi Ishii, Takao Kudo, Hideki Ono, Ryohto Sawada, Ryuichiro Ishitani, Marc Ong, Taiki Yamaguchi, Toshiki Kataoka, Akihide Hayashi, Nontawat Charoenphakdee, Takeshi Ibuka