Diamond-like carbon is formed differently to what was believed – machine learning enables development of new model

Researchers at Aalto University and Cambridge University have made a significant breakthrough in computational science by combining atomic-level modeling and machine learning. For the first time, the method has been used to realistically model how an amorphous material is formed at the atomic level: that is, a material that does not have a regular crystalline structure. The approach is expected to have impact on the research of many other materials.