Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

G. H. Teichert, A. R. Natarajan, A. Van der Ven +1

The free energy of a system is central to many material models. Although free energy data is not generally found directly, its derivatives can be observed or calculated. In this wo…