3 papers
nucl-th2026
NuGNN: a Graph Neural Network for Nuclear Reaction Network Equations
C. H. Kim, K. Y. Chae, S. Ko +2
Nuclear reaction networks are a major computational bottleneck in astrophysical simulations when large isotope sets are required, because of the stiffness of the network equations…
nucl-th2025
Systematic Bayesian Evaluation of Resonance Parameters in 19Ne for the 15O(alpha,gamma)19Ne and 18F(p,alpha)15O Reactions
S. H. Kim, K. Y. Chae, C. H. Kim +2
We present a comprehensive evaluation of the nuclear structure properties of 19Ne using a novel and rigorous Bayesian statistical framework. Precise characterization of 19Ne resona…
nucl-th2025
Robust extrapolation using physics-related activation functions in neural networks for nuclear masses
C. H. Kim, K. Y. Chae, M. S. Smith
Given the importance of nuclear mass predictions, numerous models have been developed to extrapolate the measured data into unknown regions. While neural networks -- the core of mo…