open-source Sn software

Collection of models for reactor physics benchmarks

Python Framework for data-driven model Order Reduction of multi-physiCs problEms

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Learning data-driven nonlinear manifolds in high-dimensional state spaces

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Machine learning, in numpy

A novel graph U-net architecture

Large scale scientific simulation engine

A place where I keep documents that can be referenced

ChiTech documentation

Hyperfidelity depletion tool with Serpent/Cerberus for pebble bed reactors

Very High-Order A-stable Stiffly Accurate Diagonally Implicit Runge-Kutta Methods with Error Estimators

Learning Green's functions of partial differential equations with deep learning.

Learning the Finite Volume Method in CFD with MATLAB Programming

Blender Add-On for Jonathan Richard Shewchuk's Triangle1.6

Python module for solving PDEs

LANL hydro project wasserstein-hydro-density-recons

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogoro…

Supporting codes for the numerical implementations in the paper "Operator inference for non-intrusive model reduction with quadratic manifolds" by Rudy Geelen, Stephen Wright and Karen Willcox

Converts NJoy output to Chi-Tech