MATLAB Integration for Jupyter enables you to run MATLAB code in Jupyter Notebooks and other Jupyter environments. You can also open MATLAB in a browser directly from your Jupyter environment to us…

A short tutorial of using Fortran with Code Blocks

PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.

Material y herramientas desarrolladas con relación a la Ingeniería Química (académico y profesional).

Python package for Multiphase Reactor Modeling

Quasi-two-dimensional model of catalytic packed-bed membrane reactors

Implementation of "DAE-HardNet: Physics Informed Neural Networks Enforcing Hard Differential-Algebraic Constraints"

Notebooks for Polymer Reaction Engineering lectures.

Software for Weighted Orthogonal Distance Regression with Bound Constraints

Software for solving nonlinear ! systems of equations by homotopy methods.

Modernized version of DASKR, a differential-algebraic system solver with rootfinding.

Python bindings for the modernized version of odrpack95.

A Fortran implementation of high-resolution WENO schemes for hyperbolic conservation equations

Package to solve population balance equations for particulate processes.

Examples of how to build/call Fortran modules in Python

This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.

A Little alternative to Tiddly Desktop

Physics simulations for teaching

An open-source Python package for Model-(based) Identification, Discrimination, and Design of Experiments

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Folax (Finite Operator Learning with JAX) is a framework for solving and optimizing PDEs by integrating machine learning with numerical methods in computational mechanics.

Repository for the Chaos Laboratory website

Python numerical methods to solve elementary to intermediate problems in chemical engineering