Computing energy changes in chemical reactions more efficiently

Researchers developed SPARC, an open-source ML framework that constructs machine learning interatomic potentials more efficiently without large prelabeled datasets by integrating active learning to optimise quantum mechanical calculations in chemical reaction energy simulations.

This Wire brief sits within Fusion42's coverage of Quantum Computing and AI Infrastructure.