cond-mat.mtrl-sci cs.LG
Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials through Active Learning
Kisung Kang Thomas A. R. Purcell Christian Carbogno Matthias Scheffler