Boosting first-principles thermodynamics with efficient on-the-fly machine-learning interatomic potentials
Date:
Poster at Psi-k Conference 2025, Lausanne, Switzerland
Poster on active-learning strategies that make first-principles thermodynamics and phase transitions affordable through on-the-fly machine-learning interatomic potentials.