How Machine Learning is Driving Atomic-Scale Material Simulations A team at Harvard SEAS has broken new ground with a machine learning framework that predicts how materials respond to electric fields and delivers quantum-level accuracy for massive simulations, exten... Allegro-pol atomic scale computational modeling electric fields machine learning materials discovery materials science quantum simulation