The PUR-1 Cyber-Physical Digital Twin

• URL: http://arxiv.org/abs/2608.30186v1
• Date: Mon, 31 Aug 2026 03:10:29 GMT
• Title: The PUR-1 Cyber-Physical Digital Twin
• Abstract summary: PUR-1 DT is a cyber-physical digital twin with a complete high-fidelity physics-based and AI-driven virtual model stack.<n>We demonstrate real-time synchronized state estimation and short-term forecasting over a full reactor operational cycle.
• Score: 0.47187609203210706
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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 Reactor One Digital Twin (PUR-1 DT), a cyber-physical digital twin with a complete high-fidelity physics-based and AI-driven virtual model stack (neutronics, thermal-hydraulics, point kinetics) which provides closed-loop explainable diagnostics, forecasting, predictive control, and action recommendation back to the reactor via two-way communications and a cyber-physical testbed. We demonstrate real-time synchronized state estimation and short-term forecasting over a full reactor operational cycle and conduct a series of benchmarking experiments to validate accuracy and latency. Our results show good agreement with experimental results and lay the groundwork for further development and experimental demonstration of DT-enabled functionalities in real-world facilities.

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