Microsoft Research has developed MatterSim, a deep-learning model that uses large-scale synthetic data to accurately and efficiently simulate and predict material properties. It covers a wide range of elements and conditions and offers customization options for complex prediction tasks. It outperforms previous models in terms of accuracy and is based on fundamental principles of quantum mechanics.
