Kang, K., Purcell, T. A. R., Carbogno, C., & Scheffler, M. (2024). Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials through Active Learning.
Chicago-Zitierstil (17. Ausg.)Kang, Kisung, Thomas A. R. Purcell, Christian Carbogno, und Matthias Scheffler. Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials Through Active Learning. 2024.
MLA-Zitierstil (9. Ausg.)Kang, Kisung, et al. Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials Through Active Learning. 2024.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.