Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

SPaDe-CSP first predicts most probable space groups and crystal densities using machine learning and then employs an efficient neural network potential for structure refinement. Prediction of crystal ...

This study sheds new light on the stability of random structures. It not only provides tools to predict and prevent collapse, but also shows how imperfect systems can be optimised through a better ...

Ryan Lee has received funding from the Air Force Office of Science Research . The new material is a type of architected material, which gets its properties mainly from the geometry and specific traits ...