Introduction This post is an informal summary of the paper “A linear prolongation CMFD acceleration for two-dimensional discrete ordinate k-eigenvalue neutron transport calculation with pin-resolved mesh using discontinuous Galerkin Finite Element Method” published in Annals of Nuclear Energy in May 2021. This is a part 2(b) in a multipart series (Part 1, 2(a) and 3)

Introduction This is a the third part in a four part series (Part 1, 2a, 2b) on my research into the extension and development of lp-CMFD. This post assumes that the reader has been following so far on how lp-CMFD works (see this section) and how it can be applied to 1D geometry (see this

Introduction This is an informal summary covering the testing of lp-CMFD with the Discontinuous Galerkin Finite Element Method, which we documented in the publication “A Linear Prolongating Coarse Megsh Finite Difference Acceleration of Discrete Ordinate Neutron Transport Calculation Based on Discontinuous Galerkin Finite Element Method” published in Nuclear Science and Engineering. This post is a

Introduction This is an informal summary covering the work which we documented in the following publications: This is a first part in a multipart series (Parts 2(a), 2(b), 3) where I summarize the work that I performed on lp-CMFD development. The discrete ordinates ($S_{N}$) neutron transport equation is one of the most accurate ways to

Introduction This post is an informal summary of the work we did to expand and improve MAREN, the details of which we published under “Representation of multi-group cross section libraries and flux spectra for PWR materials with deep neural networks for lattice calculations”1 in Annals of Nuclear Energy in December 2024 (open access here). It

Introduction This post is an informal summary of the paper “A deep-learning representation of multi-group cross sections in lattice calculations“1 published in Annals of Nuclear Energy on January 2024. The paper is open access thanks to KTH, and the figures here were taken from the paper. This paper is the first out of two (link