Open Source MATLAB Simulation Software

FEATool Multiphysics (https://www.featool.com) is a fully integrated toolbox for computer aided engineering CAE, finite element analysis & fluid dynamics simulations. With a very easy-to-use GUI, anyone is now able to quickly set up and perform large scale dynamical and complex engineering physics simulations, with coupled fluid flow, heat transfer, structural mechanics, chemical transport, and electromagnetics effects, without having to learn complex programming. In addition to built-in CAD and pre/post-processing, automatic mesh generation, and multi-physics solvers, FEATool also seamlessly integrates the state-of-the-art OpenFOAM [1], SU2, and FEniCS CFD and FEA solvers. Moreover, native itegration with MATLAB and Python allows advanced simulation scripts and programmatic use cases such as in AI and machine learning [2]. [1]: https://www.featool.com/Easy-to-Use-OpenFOAM-GUI/ [2]: https://featool.com/model-showcase/2024-11-12-CFD-and-Flow-Prediction-Based-on-Deep-Learning

Cantera is a suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and/or transport processes. It can be used from MATLAB, Python, C++, or Fortran.

Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling chemical reactors has never been so easy.

Development of new data assimilation techniques for ocean models

The collection MICROMECHANICS (micromechanics.zip) includes: (1) lecture notes (microbook.pdf) on the analysis of heterogeneous materials and homogenization, and (2) source codes (microcode.tar.bz2) that accompany the computational exercises in Part II of the notes. Instructions on using the codes are given in the README file of each exercise. Further instructions can be found in the file microcode.tar.bz2. The MATLAB codes are used for visualization, evaluating analytical bounds and estimates as well as in the generation of digital and particulate microstructures. The Fortran codes are based on the finite element method in linear and nonlinear settings, the latter capable of finite deformations with damage. The underlying theory is outlined in the lecture notes. -- İlker Temizer Assistant Professor Department of Mechanical Engineering Bilkent University 06800 Bilkent, Ankara Turkey

Blit contains a group of highly efficient iterative sparse solvers that can handle multiple right-hand-sides (i.e. block solvers). We will implement BLQMR, BLGMRES and other block algorithms in MATLAB, FORTRAN 90, C/C++, CUDA and OpenCL.