Data-Efficient Machine Learning Potentials via Difference Vectors Based on Local Atomic Environments

Xuqiang Shao, Yuqi Zhang, Di Zhang +10

Constructing efficient and diverse datasets is essential for the development of accurate machine learning potentials (MLPs) in atomistic simulations. However, existing approaches o…