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Collaborative Research: MATH-DT Dynamical Models and Statistical Guarantees for Sparse Sensing in Nuclear Digital Twins

Organization University of WashingtonLocation SEATTLE, United StatesPosted 15 Sept 2025Deadline 31 Aug 2028
NSFUS FederalResearch GrantScience FoundationWA
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Digital Twin technology aims to align the physical behavior of complex systems with online computational models, enabling real-time monitoring, prediction, and informed decision-making. Raw data gathered by sensors is often challenging to integrate into a model due to the sparsity of sensors. The sparse sensing problem is the central focus of this…

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Collaborative Research: MATH-DT Dynamical Models and Statistical Guarantees for Sparse Sensing in Nuclear Digital Twins | Dev Procure