EPJ Nuclear Sciences & Technologies (Jan 2024)

The Reactor Monte Carlo code RMC: The state-of-the-art technologies, advancements, applications, and next

  • Wang Kan,
  • Liu Zhaoyuan,
  • An Nan,
  • Luo Hao,
  • Jia Conglong,
  • Shen Pengfei,
  • Jiang Shihang,
  • Hu Yingzhe,
  • Gou Yuanhao,
  • Wang Wu,
  • Feng Zhiyuan,
  • Liu Guodong,
  • Zhao Xingyu,
  • Chan Kok Yue,
  • Su Zilin,
  • Tan Zhe Chuan,
  • Liu Guanyang,
  • Li Zeguang,
  • Yu Ganglin,
  • Yu Jiyang,
  • Huang Shanfang

DOI
https://doi.org/10.1051/epjn/2024021
Journal volume & issue
Vol. 10
p. 24

Abstract

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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.