Home / Publications / Journals / Nuclear Technology / Volume 209 / Number 7
Condition Assessment of Nuclear Power Plant Equipment Based on Machine Learning Methods: A Review
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 929-962
Critical Review / dx.doi.org/10.1080/00295450.2023.2169042
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 963-1007
Technical Paper / dx.doi.org/10.1080/00295450.2023.2176686
Evaluation of Sodium Radioactivity in the Primary System of the Prototype Fast Reactor Monju
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 1008-1023
Technical Paper / dx.doi.org/10.1080/00295450.2023.2181044
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 1024-1039
Technical Paper / dx.doi.org/10.1080/00295450.2023.2175584
Design and Suitability Analysis of FPGA-Based TCP/IP Offload Module for Control Systems of FBRs
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 1040-1049
Technical Paper / dx.doi.org/10.1080/00295450.2023.2171664
Comprehensive Comparison of Nuclear Materials in BNPP Fuel Assemblies
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 1050-1067
Technical Paper / dx.doi.org/10.1080/00295450.2023.2167462
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 1068-1085
Technical Paper / dx.doi.org/10.1080/00295450.2023.2171271
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 1086-1100
Technical Paper / dx.doi.org/10.1080/00295450.2023.2175598
Treatment of Uranyl Nitrate Solution by Nanofiltration
Nuclear Technology / Volume 209 / Number 7 / July 2023 / Pages 1101-1107
Technical Paper / dx.doi.org/10.1080/00295450.2023.2169041