DeepModeling is an innovative community-driven platform dedicated to advancing scientific computing through the powerful integration of machine learning and physical modeling. Launched in 2017, it focuses on providing tools and methodologies necessary for atomic-scale simulations, especially in the realms of molecular dynamics and electronic structure calculations. The flagship product, the DeePMD-kit, allows researchers to overcome significant challenges in molecular dynamics while balancing efficiency and accuracy.

DeepModeling promotes an open-source approach, emphasizing collaboration and continuous improvement among developers and researchers worldwide. This collective effort enables users to tackle complex scientific problems, fostering a vibrant community of over 6,700 active users and numerous ongoing projects such as dpdata and dp-gen. By harnessing cutting-edge computational platforms, DeepModeling aims to reshape scientific research across disciplines, empowering developers to contribute to project enhancements and fostering solutions that bridge the gap between theoretical exploration and practical application. Join the DeepModeling community to revolutionize how we approach scientific challenges together.