Beyond Energies and Forces: Systematic Evaluation of Machine-Learned Potentials for Solid–Liquid Interfaces
Atomistic simulations have proven to be a powerful tool in obtaining chemical insights for complex solid–liquid interfaces. However, studying solid–liquid interfaces with first-principles methods is a challenging task due to the underlying computational limitations. Empirical force fields have been extensively applie...