A foundation machine learning model, SurFF, enables DFT-accurate predictions of surface energies and morphologies in intermetallic catalysts, achieving over 105-fold acceleration for high-throughput materials screening.
- Jun Yin
- Honghao Chen
- Xiaonan Wang
