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The article discusses an architecture of a digital twin for nuclear systems, integrating multiple models (physics-based and data-driven) to support decision making, state estimation, predictive control, and real-time data processing. The twin must synchronize with the physical facility faster than its operational cycle.
Why it matters
Important for modeling and management of complex systems as it demonstrates requirements for digital twins in critical infrastructure.
A concept for a digital twin of a mouse is proposed as an embodied dynamical system unifying neural activity, biomechanics, sensory feedback, and environmental interactions. Construction relies on CT, anatomical sections, and Scx-GFP imaging, along with Bonhoeffer-van der Pol neural dynamics.
A prototype system has been developed where EPICS controls beam optics simulations for the CEBAF injector, with the simulation running locally or remotely. The system models a beamline with dozens of magnets and diagnostic devices.
Investigates how many training pilots are needed when a digital twin of a wireless channel is used for channel estimation. The twin is treated as a complementary measurement fused with pilot observations. For the first time, this trade-off is formalized and quantified.