Advanced Multi-Physics Modeling, Simulation, and Optimization for Nuclear Technology
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B4: Nuclear Energy".
Deadline for manuscript submissions: closed (16 November 2024) | Viewed by 11825
Special Issue Editors
Interests: reactor physics; computer modeling; nuclear science; Monte Carlo simulation; radiation protection; radioactivity; reactors; radiation physics
Interests: reactor physics; computer modeling; nuclear science; Monte Carlo simulation; radiation protection; radioactivity; reactors; experimental nuclear physics; radiation physics
Special Issue Information
Dear Colleagues,
Due to the challenges related to the effects of global warming, research and development in the field of reliable low-carbon energy sources is more important than ever. In addition, independence from fossil-based energy sources has other benefits, including reduced sensitivity of the reliability of the energy supply to geopolitical conflicts. Whereas energy production from nuclear fission is in principle well-known, proven, and has reliably been used for decades, the drive to continuously improve upon these foundations remains. Recent advances in computational power enable simultaneous development and implementation of more sophisticated numerical methods. These can result in more accurate and reliable simulations of complex systems, contributing to an improved efficiency and safety of nuclear installations. On the other hand, nuclear fusion technology has been undergoing immense advances. The advancements in existing facilities as well as the research potential of new and planned facilities provide hope for its commercial implementation in the following decades. Commercial fusion could thus become another important tool for tackling the energy and climate crises in the second half of the century.
This Special Issue aims to include the most recent advances in methodologies for modeling and analysis of nuclear fission and fusion systems. The topics of interest include but are not limited to the following:
Fields:
- Neutron physics for fission and fusion;
- Multi-physics: material science, nuclear fuel performance, thermal hydraulics, activation;
- Nuclear data;
Methods:
- Advanced: AI, machine learning, variance reduction, automatized modeling;
- Sensitivity analysis, uncertainty quantification;
Technologies:
- Current and new reactor technologies;
- Accelerator driven systems (ADS);
- Fusion-related facilities: ITER, DEMO, IFMIF-DONES, etc.
Dr. Pablo Romojaro
Dr. Gašper Žerovnik
Dr. Aljaž Čufar
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- artificial intelligence
- multi-physics
- uncertainty/sensitivity analysis
- nuclear fission
- nuclear fusion
- nuclear data
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