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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Apr 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
May 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Pacific Fusion predicts “1,000-fold leap” in performance, net facility gain by 2030
Inertial fusion energy (IFE) developer Pacific Fusion, based in Fremont, Calif., announced this morning that it is on target to achieve net facility gain—more fusion energy out than all energy stored in the system—with a demonstration system by 2030, and backs the claim with a technical paper published yesterday on arXiv: “Affordable, manageable, practical, and scalable (AMPS) high-yield and high-gain inertial fusion.”
Technical Session|Panel|Sponsored by HFICD
Wednesday, June 19, 2024|10:00–11:45AM PDT|Jasmine H
Session Chair:
Syed Bahauddin Alam
Session Organizer:
Vivek Agarwal
In alignment with the Department of Energy (DOE)'s mission to bolster America's security by addressing its energy, environmental, and nuclear challenges, this panel will delve into the potential of leveraging a Digital Twin (DT) approach powered by Artificial Intelligence (AI) and Machine Learning (ML), in Nuclear Plant Asset Management & Modernization. Specifically, this panel will shed light on both the technological promise and economic implications of prognostic and health management from Digital Twin approaches in tie with advanced cybersecurity solutions, with an emphasis on: (1) Predictive Maintenance & Degradation Monitoring: Harnessing Digital Twins to foresee maintenance needs and track asset degradation in real-time. (2) Data Integration & Interpretability: Consolidating heterogeneous data sources into coherent Digital Twin models while ensuring model transparency. (3) Economic Optimization: Evaluating the return on investment and risk reduction potential of Digital Twin adoption. (4) Cybersecurity Considerations: Ensuring regulatory alignment of Digital Twin capabilities in the realm of cybersecurity for nuclear infrastructures. (5) Strategic Collaboration: Working closely with the DOE to maximize Digital Twins' and cybersecurity impact. Overall, this panel aims to bridge innovation and implementation, offering a comprehensive perspective on how Digital Twins, integrated with cybersecurity and AI, can transform nuclear plant asset management. By convening experts across industry, government, and academia, we hope to chart a path toward increased efficiency, cyber-secured, and cost-effectiveness in maintaining these vital clean energy assets over their lifetime.
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