Special Issue "Advanced Multi-Physics Modeling, Simulation, and Optimization for Nuclear Technology"
Deadline for manuscript submissions: 16 May 2024 | Viewed by 3903
Interests: reactor physics; computer modeling; nuclear science; Monte Carlo simulation; radiation protection; radioactivity; reactors; experimental nuclear physics; radiation physics
Interests: reactor physics; computer modeling; nuclear science; Monte Carlo simulation; radiation protection; radioactivity; reactors; radiation physics
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:
- Neutron physics for fission and fusion;
- Multi-physics: material science, nuclear fuel performance, thermal hydraulics, activation;
- Nuclear data;
- Advanced: AI, machine learning, variance reduction, automatized modeling;
- Sensitivity analysis, uncertainty quantification;
- Current and new reactor technologies;
- Accelerator driven systems (ADS);
- Fusion-related facilities: ITER, DEMO, IFMIF-DONES, etc.
Dr. Gašper Žerovnik
Dr. Pablo Romojaro
Dr. Aljaž Čufar
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- machine learning
- artificial intelligence
- uncertainty/sensitivity analysis
- nuclear fission
- nuclear fusion
- nuclear data