Developing universal machine learning potentials for heterogeneous catalysis still presents challenges. Recently, an element-based potential using random exploration via imaginary chemicals was developed and predicts reactions accurately across various scenarios related to catalytic systems and materials science.
- Emmanuel Adu Fosu
- Jindou Yang