Author

Efficient Universal Potential Distillation with Pre-trained Students in LightPFP

NeurIPS2025 AI4Mat

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

A practical guide to machine learning interatomic potentials – Status and future

Current Opinion in Solid State and Materials Science

By : Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, , Kamal Choudhary, Gabor Csanyi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani, Shyue Ping Ong, Igor Poltavsky, KJ Schmidt, So Takamoto, Aidan P. Thompson, Julia Westermayr, Brandon M. Wood

High-throughput investigation of stability and Li diffusion of doped solid electrolytes via neural network potential without configurational knowledge

Scientific Reports

By : Ryohto Sawada, Kosuke Nakago, Chikashi Shinagawa, So Takamoto

Towards universal neural network interatomic potential

Journal of Materiomics

By : So Takamoto, Daisuke Okanohara, Qing-Jie Li, Ju Li