Deep Potentials and Applications to Materials - From Water and Ice to Hematite

Explore deep potential methods and their applications to materials science through this 50-minute conference talk from the Workshop on High-Pressure Mineral Physics and Geophysics Applications. Learn how deep learning techniques are revolutionizing molecular dynamics simulations and materials modeling, with specific focus on applications ranging from water and ice systems to hematite materials. Discover the theoretical foundations of deep potential neural networks and their implementation in studying complex material properties under various conditions. Examine case studies demonstrating how these computational approaches provide insights into the behavior of materials at the atomic level, particularly relevant for high-pressure mineral physics and geophysical applications. Gain understanding of how machine learning is transforming traditional computational materials science methodologies and opening new avenues for research in condensed matter physics and earth sciences.