2026-10-14T10:10:17Z https://www.scidb.cn/oai

10.57760/sciencedb.j00186.0010a 2026-09-24T08:26:55Z

2026-09-24 Data and Plotting Codes for Four Benchmark Cases of a Nuclear–Thermal Coupled Solver doi:10.57760/sciencedb.j00186.0010a en This dataset contains the processed numerical data and Python plotting codes associated with four benchmark cases used to evaluate a nuclear–thermal coupled solver. The four cases cover heat transfer, neutron diffusion, surrogate-model evaluation, and coupled neutronic–thermal analysis. The dataset includes numerical, physics-informed neural network (PINN), and DeepONet results used to generate and compare the figures presented in the associated study. Selected trained model parameters and supporting input data required by the plotting codes are also provided where necessary. The files are organized into four case-specific folders. Generated figure files and unrelated training intermediates are not included. Nuclear–thermal coupling; Physics-informed neural networks; DeepONet; Neutron diffusion; Heat transfer; Scientific machine learning Hongtao Bi PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank