Artificial Intelligence for Nuclear Engineering: Enhancing Smart Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 10 September 2026 | Viewed by 918
Editors
2. College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China
Interests: artificial intelligence; nuclear engineering; smart energy system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As a clean energy source, nuclear energy is one of the most important choices to address carbon neutrality and emissions issues, and so the safe and efficient utilization of nuclear energy has always been a research hotspot in the energy industry. The composition of nuclear energy systems is relatively complex, and changes in key parameters of the system have obvious nonlinear characteristics. In addition, the switching of operating conditions in these systems is often achieved through adjusting pumps and valves, and the potential risk of malfunctions during this process is a key factor affecting nuclear safety utilization.
Artificial intelligence technology is highly compatible with nonlinear energy systems due to its advantages in data mining. Intelligent algorithms can effectively solve key problems in parameter prediction, fault diagnosis, and intelligent decision control of nuclear energy systems, ensuring efficient energy utilization and safe system operation.
This Special Issue aims to introduce the latest developments in the research of prediction, classification, and optimization techniques based on artificial intelligence methods in nuclear energy systems.
Topics of interest for publication include, but are not limited to, the following:
- Research on the application prospects of artificial intelligence in nuclear energy;
- Intelligent reconstruction of flow and radiation fields in nuclear energy systems;
- Intelligent mode decomposition and analysis of noise items in nuclear energy system data;
- Research on health management and smart energy technology for nuclear energy systems;
- Technologies for constructing proxy models for nuclear energy systems, including but not limited to data-driven proxy models and physics-data-driven proxy models;
- Time series prediction of key parameters in nuclear energy systems, including but not limited to development of new intelligent algorithm frameworks for nuclear energy systems, online-learning-based prediction of nuclear energy system parameters, etc.;
- Research on nuclear energy systems based on physical information neural networks;
- Fault diagnosis of nuclear energy systems, including but not limited to open set recognition technology;
- Early warnings of nuclear energy system failures based on artificial intelligence;
- Intelligent optimization of operating parameters for nuclear energy systems;
- Multiparameter collaborative intelligent control of nuclear energy systems;
- Intelligent decision-making for nuclear energy systems under complex operating conditions.
You may choose our Joint Special Issue in Processes.
Dr. Bo Wang
Guest Editor
Dr. Bowen Chen
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- intelligent regulation of energy system operating conditions
- construction of digital twin model for energy systems
- energy system security analysis based on artificial intelligence
- system uncertainty analysis based on artificial intelligence
- intelligent prevention of energy system accidents
- situation awareness for energy systems
- intelligent optimization of energy system operation rules based on big language models
- intelligent processing of energy system noise and data
- intelligent solution based on physical equations of energy systems
- intelligent optimization of energy system robots
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