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News/Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability
arxiv
PublishedApril 9, 2026 at 4:00 AM
▲bullish

Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.07292v1 Announce Type: new Abstract: Real-time supervisory control of advanced reactors requires accurate forecasting of plant-wide thermal-hydraulic states, including locations where physical sensors are unavailable. Meeting this need calls for surrogate models that combine predictive fi

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#physics-informed#neural-networks#real-time#simulation

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Mentioned models
02
  • 01
    Graph Neural Network
  • 02
    Neural Ordinary Differential Equation
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#physics-informed#neural-networks#real-time#simulation

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1d
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