Farsi Computational Mechanics Lab

I lead the Farsi Lab, where we build high‑performance numerical models to tackle complex problems in Earth sciences and engineering. Our research advances nonlinear solid mechanics, discrete fracture mechanics, contact processes, fluid flow in porous media, and tightly coupled multiphysics systems. We develop and deploy finite‑ and discrete‑element methods, and adjoint‑based data assimilation and optimisation, also using a newly developed finite element‑based operator‑learning framework. Focus areas are:

• Fracture, faulting, and contact in heterogeneous solids;
• Multiphase flow and transport in porous media;
• Strongly coupled multiphysics processes;
• Scalable algorithms and software for large‑scale HPC simulation;
• Inverse modelling and data assimilation via adjoint methods and operator learning.

If you'd like to learn more about our work in rock mechanics, watch my invited seminar for the American Rock Mechanics Association, Bridging Computational Mechanics and Machine Learning in Geomechanics below: