Comparison of Neuroevolution Potential (NEP) and Moment Tensor Potential (MTP) for Simulating the Structural and Thermal Properties of Cu7PS6 Superionic Conductor

This research paper demonstrates the effectiveness of two machine learning potentials, NEP and MTP, in accurately and efficiently predicting the structural and thermal properties of Cu7PS6, a promising superionic conductor, with NEP exhibiting superior computational speed and MTP offering slightly higher accuracy.