# Broadening access to Skala creates a faster path to predictive DFT

DevFeed: [Broadening access to Skala creates a faster path to predictive DFT](<https://devfeed.tech/articles/broadening-access-to-skala-creates-a-faster-path-to-predictive-dft-6783.md>)

Original publisher: [Read original article](<https://www.microsoft.com/en-us/research/blog/broadening-access-to-skala-creates-a-faster-path-to-predictive-dft/>)

Author: Sebastian Ehlert, Stefano Battaglia, Thijs Vogels, Jan Hermann, Jens Wehner, Giulia Luise, Klaas Giesbertz, Chin-Wei Huang, Aaron Kaplan, Kate Milton, Stephanie Marisa Lanius, Derk Kooi, P. Bernát Sza

Published: 2026-08-20T16:00:00Z

Content type: article

Language: en

Sources: [Microsoft Research](<https://devfeed.tech/sources/microsoft-research.md>)

Topics: [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>), [data](<https://devfeed.tech/topics/data.md>), [Software](<https://devfeed.tech/topics/software.md>)

Tags: [benchmark](<https://devfeed.tech/tags/benchmark.md>), [chemistry](<https://devfeed.tech/tags/chemistry.md>), [data](<https://devfeed.tech/tags/data.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [integration](<https://devfeed.tech/tags/integration.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [performance](<https://devfeed.tech/tags/performance.md>), [research](<https://devfeed.tech/tags/research.md>), [research-blog](<https://devfeed.tech/tags/research-blog.md>), [software](<https://devfeed.tech/tags/software.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

Microsoft Research presents Skala 1.1, a deep-learning exchange-correlation functional that improves accuracy for molecular simulations while expanding access through integrations with major electronic-structure software. A living benchmark will track the computational performance of future releases.

## Source excerpt

Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance. The post Broadening access to Skala creates a faster path to predictive DFT appeared first on Microsoft Research.