| The assembly homogeneous few-group constants generation method for PWR based on machine learning K Tan, Z Liu, C Wei, M Liu Annals of Nuclear Energy 165, 108772, 2022 | 9 | 2022 |
| Development of cross-section calculation module for high-temperature gas-cooled reactor engineering simulator system using an optimal model tree algorithm K Tan, M Liu, C Wei Annals of Nuclear Energy 184, 109683, 2023 | 2 | 2023 |
| An algorithm for accurate modeling and simulating reactor cores with involute‐shaped fuel plates by Monte Carlo S Zhang, N Gui, T Kai, X Yang, J Tu, S Jiang International Journal of Energy Research 45 (8), 12449-12463, 2021 | 2 | 2021 |
| Optimizing the Fixed Number Detector Placement for the Nuclear Reactor Core Using Reinforcement Learning K Tan, F Zhang Nuclear Science and Engineering, 1-23, 2024 | 1 | 2024 |
| Analysis of Alkaline Foam to Water Temperature Model Z Xu, L Zhao, K Tan World Journal of Engineering and Technology 4 (3), 433-436, 2016 | 1 | 2016 |
| Application of Machine Learning in Crosssection Calculation for High-Temperature Gas-Cooled Reactor Engineering Simulator System K Tan, M Liu, C Wei Available at SSRN 4199183, 0 | 1 | |
| Validation of NUIT for Nuclides Composition Calculation With PWR Spent Fuel Isotropic Measurement K Tan, R Li, J Li, J Liang, D She International Conference on Nuclear Engineering 86502, V015T16A053, 2022 | | 2022 |
