SOURCE-LINKED INTELLIGENCE
The PUR-1 Cyber-Physical Digital Twin
Digital twin technologies have the potential to improve operational flexibility and responsiveness capabilities of nuclear systems. To provide decision support, cyber event characterization, state estimation, predictive control, and real-time dynamic processing of operational data, however, an efficient digital twin needs to integrate multiple models (data-driven as well as physics-based) with explainability while at the same time maintain two-way synchronization with the physical facility at a time constant less than its operational cycle. In this work, we present the Purdue University Reacto
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T03:10:29.000Z
First collected: 2026-09-21T07:22:03.933Z. This is not the publication date.