On-the-Fly Active Learning of Interatomic Potentials for Large-Scale Atomistic Simulations

The on-the-fly generation of machine-learning force fields by active-learning schemes attracts a great deal of attention in the community of atomistic simulations. The algorithms allow the machine to self-learn an interatomic potential and construct machine-learned models on the fly during simulatio... View More