Source: anl.gov Abstract: One of the most promising applications of machine learning to materials research is the development of atomic-scale models that can be used to accelerate the calculation of material properties by orders of magnitude relative to density functional theory with little loss of accuracy. To this end, I will demonstrate how machine learning, Read More