The Dark Side of the Forces: Assessing Non-Conservative Force Models for Atomistic Machine Learning
Summary of Bigi et al.'s 2025 paper that critically evaluates the trend of using non-conservative force models in atomistic machine learning, …
Energy-Conservation
2 posts tagged with energy-conservation.
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
Summary of Fu et al.'s 2025 paper that bridges the gap between test-set accuracy and downstream task performance for MLIPs by proposing energy …