Under the hood, multiphysics software based on the finite-element (FE) method mathematically models complex engineering and scientific problems in inductive heating, heat transfer, and ...
data/ input.txt # sample input sample_output.txt # example output fortran/ iterative_methods.f90 main.f90 python/ solve.py cpp/ main.cpp # optional C++17 implementation All Visual Studio specific ...
Abstract: In this letter, an efficient and accurate physics-embedded Fletcher–Reeves conjugate gradient (FRCG) projection method, termed conjugate gradient-based Fourier neural operator (CGFNO), is ...
Abstract: Iterative method selection is crucial for solving sparse linear systems because these methods inherently lack robustness. Though image-based selection approaches have shown promise, their ...
In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
A new study provides a rigorous theoretical and numerical analysis of the accuracy of the method of characteristics (MoC), a ...
Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results