Dynamically training machine-learning-based force fields for strongly anharmonic materials

Martin Callsen, Tai-Ting Lee, Mei-Yin Chou

Machine learning (ML) force fields have emerged as a powerful tool for computing materials properties at finite temperatures, particularly in regimes where traditional phonon-based…