Training atomic neural networks using fragment-based data generated in virtual reality

Silvia Amabilino, Lars A. Bratholm, Simon J. Bennie +2

The ability to understand and engineer molecular structures relies on having accurate descriptions of the energy as a function of atomic coordinates. Here we outline a new paradigm…