Hydrogen-rich environments, such as in energy applications, can cause embrittlement of high-performance alloys, making it important to predict hydrogen behavior. Here, a machine-learning interatomic potential is reported for the Ni-X-H ternary system, and used to predict hydrogen diffusion in random alloys.
- Kazuma Ito
- Naoki Matsumura
- Hisao Matsunaga
