Microsoft Research broadens access to Skala for predictive DFT

Skala 1.1 is an updated deep-learning exchange-correlation functional from Microsoft Research designed to support a faster path toward predictive DFT. The release focuses on greater accuracy while making the tool more accessible across the computational chemistry ecosystem.

The update also introduces a living benchmark for tracking computational performance. By pairing broader access with a performance benchmark, Microsoft Research is positioning Skala as a more practical resource for researchers working with DFT methods and computational chemistry workflows.