Special Issue "Mathematics and Computational Methods in Nuclear Energy Technology"
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 12394
Interests: nuclear reactor safety; advanced nuclear systems; Monte Carlo; radiation transport; radiation protection
Interests: advanced nuclear systems; Monte Carlo; particle transport; fusion neutronics; radiation protection; multi-physical coupling
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Mathematics and computation play an important role in nuclear energy technologies, since they enable us to predict the behaviors of nuclear systems through mathematical and computational models. Nuclear analysis software empowered with precise computational models has been supporting the entire process of nuclear power plant design, safety analysis, construction, operating, and decommission.
With the increasing requirements for nuclear reactor safety and economics as well as the rapid development of advanced nuclear systems, new generations of mathematics and computational methods and tools with improved accuracy and resolution, robustness, reliability, efficiency, etc., are highly anticipated in the field of nuclear energy. Advanced mathematics and computational methods will provide irreplaceable guidance for the design and optimization of current and next-generation reactors with newer and better models, including the ability to incorporate more underlying physical factors, to use models with higher fidelity, and to comprise different scales, etc.
This Special Issue aims to present the most recent research and developments in mathematics and computational methodologies (including theories, methods, models, frameworks, tools, etc.) applied to the nuclear energy technologies. Themes of interest include but are not limited to:
- Multi-scale/multi-physics simulation for existing and advanced nuclear energy systems
- Artificial intelligence applications in nuclear energy
- Deterministic, Monte Carlo, and hybrid methods in reactor physics analyses
- Thermal-hydraulics and safety analysis
- Computational fluid dynamics and applications
- Computer code development, verification, and validation
- Uncertainty quantification, sensitivity analysis, and optimization
- High-performance computing, visualization for fluid flow and radiation transport problems
- Other applications related to advanced mathematics and computational methods in nuclear energy
We welcome submissions on novel concepts and innovations of original research articles as well as communications and review articles from different disciplines that are relevant to the abovementioned topics.
Dr. Jingang Liang
Dr. Shichang Liu
Dr. Zhaoyuan Liu
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.
- mathematics and computational methods
- nuclear energy system
- modeling and simulation
- artificial intelligence
- nuclear reactor physics
- thermal hydraulics
- multiphysics analysis
- deterministic methods
- Monte Carlo
- code development
- verification and validation
- sensitivity analysis and uncertainty quantification