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 (CoRR, 2024)