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R. Reyes, R. Codina, J. Baiges, S. Idelsohn. Reduced order models for thermally coupled low Mach flows. Advanced Modeling and Simulation in Engineering Sciences. 2019

Element boundary terms in reduced order models for flow problems: Domain decomposition and adaptive coarse mesh hyper‑reduction. Computer Methods in Applied Mechanics and Engineering. 2020

R. Reyes, R. Codina. Projection‑based reduced order models for flow problems: A variational multiscale approach. Computer Methods in Applied Mechanics and Engineering. 2020

R. Reyes, R. Codina, J. Baiges. A posteriori error estimates in a finite element VMS‑based reduced order model for the incompressible Navier‑Stokes equations. Computer Methods in Applied Mechanics and Engineering. 2021

C. Farias, C. Bayona, E. Castillo, R. Cabrales, R. Reyes. Reduced order modeling of parametrized pulsatile blood flows: hematocrit percentage and heart rate. International Journal of Engineering Sciences. 2023.

R. Reyes, O. Ruz, C. Bayona, E. Castillo, A. Tello. Reduced Order Modeling for Parametrized Generalized Newtonian Fluid Flows. Journal of computational physics. 2023.

A. Tello, R. Reyes, C. Bayona, R. Codina. Three-Field Fluid-Structure Interaction using the Variational Multiscale Method. In preparation.

R. Reyes. The Frequency Reduced-Basis method: Reduced order models for time-dependent problems using the Laplace transform.

insFEM. I do a lot of the simulations for CFD (and others) using this FORTRAN code. It was developed during my PHD with a lot of friends and colleagues. Although it is by no means an easy task to make it run and to find how everything works, anyone is welcome to use it.

insROM. This a reduced basis generator Python code that goes along nicely with insFEM.

rsg-py. This a reduced basis generator Python code that works with FEniCS. it imports the objects from FEniCS, and I/O data using h5py.