Microsoft's Skala 1.1 boosts DFT accuracy 2.5x with broader access
Skala 1.1 achieves 2.8 kcal/mol error on GMTKN55, beating hybrid functionals at semi-local costs...
Deep Dive
Key Points
- Skala 1.1 achieves 2.8 kcal/mol error on GMTKN55, surpassing hybrid functionals at semi-local computational costs.
- Now integrated into CP2K and coming to Psi4, FHI-aims, ORCA, and VASP, broadening accessibility for chemists and material scientists.
- Launches a living benchmark to track Skalaβs performance, fostering community-driven optimization and transparency.
Why It Matters
Predictive DFT simulations just got faster and more accessible, accelerating drug discovery, materials science, and industrial R&D workflows.