A Breakthrough in Reactor Physics: Advanced Neural Networks Unveil New Potential in Solving K-eigenvalue Problems
CHINA, November 16, 2023 /EINPresswire.com/ -- Traditionally, K-eigenvalue problems have been tackled using a myriad of numerical methods, such as the finite difference method, nodal expansion method, and finite element method, among others. However, as …