Self-learning Hybrid Monte Carlo: A First-principles Approach

Yuki Nagai, Masahiro Okumura, Keita Kobayashi +1

We propose a novel approach called Self-Learning Hybrid Monte Carlo (SLHMC) which is a general method to make use of machine learning potentials to accelerate the statistical sampl…