Your Location：

Home >

Browse articles >

Hybrid windowed networks for on-the-fly Doppler broadening in RMC code

NUCLEAR ENERGY SCIENCE AND ENGINEERING | Updated：2021-07-01

- Hybrid windowed networks for on-the-fly Doppler broadening in RMC code Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.32, Issue 6, (2021)
- Affiliations：
  
  Institute of Nuclear and New Energy Technology, Tsinghua University,Beijing,China,100084;Department of Engineering Physics, Tsinghua University,Beijing,China,100084
- Author bio：
- Funds：
- DOI：10.1007/s41365-021-00901-2 CLC：
- Published：01 June 2021，
  
  Published Online：14 June 2021，
  
  Received：04 January 2021，
  
  Revised：25 March 2021，
  
  Accepted：16 April 2021
Scan the full text
Cite this article
Tian-Yi Huang, Ze-Guang Li, Kan WANG, et al. Hybrid windowed networks for on-the-fly Doppler broadening in RMC code. [J]. Nuclear Science and Techniques 32(6):62(2021)
DOI：

Tian-Yi Huang, Ze-Guang Li, Kan WANG, et al. Hybrid windowed networks for on-the-fly Doppler broadening in RMC code. [J]. Nuclear Science and Techniques 32(6):62(2021) DOI： 10.1007/s41365-021-00901-2.

Views

Downloads

Cited

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Monte Carlo study of the neutron ambient dose equivalent at the heavy ion medical machine in Wuwei

Design of an efficient collector for the HIAF electron cooling system

Forced propagation method for Monte Carlo fission source convergence acceleration in the RMC

On-the-fly Doppler broadening method based on optimal double-exponential formula

Study of relation between the gamma flux buildup factors and source geometry by M-C simulation

Related Author

Zhong-Ying Dai

Hai-Jun Mao

Ying Luo

Kai Bai

Hui Zhang

Sheng-Cong Huang

Kai-Min Yan

Mei-Tang Tang

Related Institution

School of Nuclear Science and Technology, Lanzhou University

Institute of Modern Physics, Chinese Academy of Sciences

University of Chinese Academy of Sciences

Institute of Modern Physics, Chinese Academy of Science

University of Science and Technology of China

⁰

Hybrid windowed networks for on-the-fly Doppler broadening in RMC code Cover Article Enhanced Publication