iFAN Ecosystem: A Unified AI, Digital Twin, Cyber‑Physical Security, and Robotics Environment for Advanced Nuclear Simulation and Operations

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Authors: Youndo Do, Chad Meece, Marc Zebrowitz, Spencer Banks, M.H. Choi, Xiaoxu Diao, Kai Tan, Michael A. Doran, Jason Reed, Fan Zhang
Cited by: 1

Abstract

As nuclear facilities experience digital transformation and advanced reactor development, AI integration in cyber-physical security and other emerging technologies, such as autonomous robot operations, is increasingly developed. However, evaluation and deployment are challenged by the lack of dedicated virtual testbeds. The iFAN ecosystem is developed, a comprehensive digital twin framework with a realistic 3D environment with physics-based simulations. The iFAN ecosystem serves as a high-fidelity virtual testbed to develop AI methods for plant operation, cybersecurity, physical security, and robotic operation, as it provides real-time data exchange for pre-deployment verification. Core features include virtual reality, reinforcement learning, radiation simulation, and cyber-physical security. In addition, the paper investigates various applications through potential operational scenarios. The iFAN ecosystem provides a versatile and secure architecture for validating the next generation of autonomous and cyber-resilient nuclear operations.

Fields of Study & Subjects

Digital Transformation in Industry Risk and Safety Analysis Adversarial Robustness in Machine Learning

Publication details

Journal / source
SSRN Electronic Journal
Publisher
Elsevier BV
Publication date
1 January 2026
Document type
Preprint