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Collaborative Research: Unified Neural Operator (UNO): Towards Trustworthy Operator Learning for Scientific Applications

Organization Boise State UniversityLocation BOISE, United StatesPosted 1 Sept 2025Deadline 31 Aug 2028
NSFUS FederalResearch GrantScience FoundationID
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Modern scientific challenges—from predicting complex fluid flows to modeling plasma behavior in fusion reactors—demand computationally efficient, trustworthy surrogates that can rival traditional numerical solvers while harnessing the power of artificial intelligence. Scientific machine learning (SciML), identified as a core technology for AI,…

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Collaborative Research: Unified Neural Operator (UNO): Towards Trustworthy Operator Learning for Scientific Applications | Dev Procure