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

Documenti analoghi

• Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
  di: Roy, Samrendra, et al.
  Pubblicazione: (2026)
• An AI-Driven Thermal-Fluid Testbed for Advanced Small Modular Reactors: Integration of Digital Twin and Large Language Models
  di: Lim, Doyeong, et al.
  Pubblicazione: (2025)
• Data-Driven Supervision of a Thermal-Hydraulic Process Towards a Physics-Based Digital Twin
  di: Imhogiemhe, Osimone, et al.
  Pubblicazione: (2026)
• Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
  di: Joy, Usman Gani
  Pubblicazione: (2025)
• Learning Causal States Under Partial Observability and Perturbation
  di: Li, Na, et al.
  Pubblicazione: (2025)