UCSB Team Wins $1M NSF Award to Teach AI Higher-Order Interactions in Science
ninamiolane · x · 2026-10-20
Four UCSB researchers (Nina Miolane, Haewon Jeong, Sanjukta Krishnagopal, and Yao Qin) have received a $1 million NSF award to study how AI can capture higher-order interactions in complex physical systems.
Most AI-for-science methods model only pairwise relationships—between two atoms, brain regions, or stars—yet many real phenomena emerge from interactions among many components that pairwise models cannot represent. The team aims to develop AI methods that account for these overlapping multi-way interactions, helping discover unknown scientific laws in fields like neuroscience where no elegant equations yet exist.
This is the first federal grant for UCSB's Real AI initiative, launched earlier this year and co-directed by Jeong, Miolane, and Qin.
Related event: UCSB Team Wins $1M NSF Grant to Study Higher-Order Interactions in AI(5 posts)→
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