Simple and efficient algorithms for training machine learning potentials to force data

Understand

Abstract Machine learning models, trained on data from ab initio quantum simulations, are yielding molecular dynamics potentials with unprecedented accuracy.

• One limiting factor is the quantity of available training data, which can be expensive to obtain.
• A quantum simulation often provides all atomic forces, in addition to the total energy of the system.
• These forces provide much more information than the energy alone.