Advanced Multi-Physics Modelling and Simulation for Nuclear Technology—2nd Edition

Dear Colleagues,

Modelling and simulation (M&S) play a significant role in nuclear engineering, since they enable reproducing the behaviour of complex nuclear systems and coupling various and different physics and scales through computational models. This complexity represents one of the key challenges for the development of safer designs and operations of nuclear power plants.

The design of new reactors, be they fission (including fast-neutron reactors, pebble-bed high-temperature gas-cooled reactors, molten salt reactors, small modular reactors, etc.) or fusion reactors, requires the development of new and effective approaches that successfully address the key issues of the optimization and understanding of safe design, enhance material behaviour prediction and understanding, and consider the issues that long-term operation and ageing will pose.

Research on new pressurized water reactor fuels, and especially research on accident-tolerant fuels, is also in full swing.

Efficient new multiscale/multiphysics modelling techniques and high-performance computing and simulation tools are necessary to predict the behaviour of complex nuclear systems, accounting for the synergy between mechanical, thermal, chemical, and radioactive conditions during steady-state operation and transient conditions, and to gain insights into physical systems in ways not possible with traditional approaches alone. Because these tools are flexible and may integrate experimental and in-line operational data, they can be applicable to analyzing and optimizing the performance and reliability of existing and advanced nuclear power plants.

The proposed Special Issue will provide a platform for the discussion of formalisms, methodologies, M&S tools related to nuclear reactors, and related technologies.

Submissions on the following main topics are welcome:

1. Multiscale/multiphysics M&S of fission and fusion nuclear energy systems;
2. Design by analysis and safety analysis of NPPs (including SMRs);
3. NPP advanced technology and accident tolerant fuels;
4. Material ageing and LTO assessment;
5. Computational fluid dynamics and applications in nuclear energy systems;
6. Deterministic, Monte Carlo, and hybrid methods for NPP analyses;  
7. Uncertainty analysis, validation and verification, and modelling optimization of NPP behaviour;
8. High-performance computing and reduced-order modelling in nuclear energy;
9. Artificial intelligence applications in nuclear energy;
10. Other applications related to the advanced modelling and simulation of nuclear power plants and their SSCs.

Papers that review and implement robust methodologies for assessing SSC fitness-for-service and identify the most critical elements of the systems that may reduce a plant’s safety margin are also welcome.

The editors encourage the submission of original research articles, short communications, and review articles that cover the abovementioned topics.

Finally, the proposed Special Issue will also bridge research with educational programmes, as well as engineering practices, in all disciplines related to nuclear technology.

Dr. Rosa Lo Frano
Dr. Rodrigue Largenton
Guest Editors

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.

• HPC
• simulation
• modelling
• high-performance modeling
• artificial intelligence
• fusion/fission plants technology
• multiscale and multiphysics
• ageing
• safety design
• validation & verification
• accident-tolerant fuels materials and technology
• AI & ML

• Advanced Multi-physics Modelling and Simulation for Nuclear Technology in Energies (7 articles)