Kavli Affiliate: Kristin A. Persson | First 5 Authors: Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand | Summary: Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that are pre-trained on diverse materials datasets, providing opportunities for both […]
Continue.. Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning