Columbia & Cambridge unlock quantum AI for new material models
Researchers led by Michele Simoncelli at Columbia University, working with colleagues at the University of Cambridge, have introduced a benchmark for testing machine learning models that predict material properties. The benchmark is intended to give the community a standardized way to compare how well different models capture the behaviour of materials.
The benchmark could become a standard evaluation suite for machine learning interatomic potentials and property prediction models.