Issue |
EPJ Nuclear Sci. Technol.
Volume 10, 2024
Status and advances of Monte Carlo codes for particle transport simulation
|
|
---|---|---|
Article Number | 24 | |
Number of page(s) | 14 | |
DOI | https://doi.org/10.1051/epjn/2024021 | |
Published online | 11 December 2024 |
https://doi.org/10.1051/epjn/2024021
Regular Article
The Reactor Monte Carlo code RMC: The state-of-the-art technologies, advancements, applications, and next
Department of Engineering Physics, Tsinghua University, Beijing, 100084, C.R. China
* e-mail: liuzy7@mail.tsinghua.edu.cn
Received:
13
June
2024
Received in final form:
21
September
2024
Accepted:
3
October
2024
Published online: 11 December 2024
Based on academic research and industrial applications over more than 20 years, the Reactor Monte Carlo code (RMC) developed by the REAL (Reactor Engineering Analysis Laboratory) team at Tsinghua University since 2000 has become a powerful, innovative, and versatile simulation platform for nuclear reactor analysis, shielding simulations, criticality safety calculations, fusion neutronics analysis and beyond. Utilizing collaborative and agile development technology, advanced methods and the most cutting-edge algorithms can be tested and implemented in RMC quickly and efficiently. RMC has been deployed on many world-class supercomputers in China and played an irreplaceable role in the design and analysis of commercial nuclear power plants and newly designed types of advanced nuclear reactors. This paper reviews the state-of-the-art technologies developed in RMC in recent years, such as stochastic and continuous-varying media modeling, advanced transient simulation capability, more accurate energy deposition model, etc. Parallel acceleration on heterogeneous architecture supercomputers and machine learning algorithms would be incorporated in ongoing research and future development plans.
© K. Wang et al., Published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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