Our lab’s Github page:

https://github.com/amir-cardiolab

Py4SciComp (Python for scientific computing):

Please visit Py4SciComp’s Github page for a series of tutorials (sample codes, data,  and Youtube tutorials). In the future theoretical lectures supporting the tutorials will be also added.

Our Youtube channel:

https://www.youtube.com/channel/UCfCxgTGZAMaWbJhH11yg16g

Some of our conference talks, education material (e.g., Py4SciComp) are available on our Youtube channel. We have also created a youtube playlist of some select interesting webinars on Scientific Machine Learning (this playlist is occasionally updated).

Open Science Matters!:

We have created a comprehensive list of publicly available webinar series in various disciplines  (machine learning, fluid/solid mechanics, computational modeling, biomechanics, applied math, etc.). Please check them out here and enjoy learning:  Open Science Matters webpage. 

Open-source/free software:

  • SimVascular: A comprehensive software from medical image data to patient-specific blood flow simulation.
  • Vascular Modeling Toolkit (VMTK): A collection of Python libraries for image-based modeling of blood vessels.
  • FEniCS: A flexible finite element method (FEM) platform for solving arbitrary PDEs using a Python interface.
  • The Visualization Toolkit (VTK): A collection of C++ libraries for visualization and post-processing of a wide range of data. VTK libraries are available in Python, providing powerful and efficient post-processing of different types of computational data.
  • ParaView: A powerful VTK based visualization/post-processing software.
  • VolView: Medical image data visualization.
  • OpenFlipper: Processing mesh data.
  • Meshmixer: Processing triangle surface mesh data.
  • FreeCAD: Scriptable 3D CAD modeler.
  • FlowVC:  Lagrangian processing of velocity data. FTLE, particle residence time, particle tracking, ..

A short tutorial by Dr. Arzani on advanced vector field (velocity and WSS) visualization for creating figures for papers/presentations:

Useful online lectures:

Dr. Arzani’s course:

Advanced CFD & FEM (Dr. Arzani)