A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid
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Updated
May 30, 2024 - C++
A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid
The working repository for my PhD project at the Centre for Scientific Computing, Cambridge
Lattice Boltzmann method implemented in julia
The repository is the implementation of a research paper concluding the performance analysis of machine learning algorithm on complex non-Newtonian fluids.
Freely Coupled Lattice Boltzmann Code
an open source CFD solver used for numerical simulations of non-Newtonian fluid dynamics
Python rheology toolbox
RESEARCH: Estudio de amenazas hidráulicas en la llanura de inundación de la cuenca del Río Bogotá - Cundinamarca - Colombia - Suramérica - HydroBogota
Hemodynamic Indices and Shape-Based Models of Left Atrial Appendage to Enhance Stroke Prediction in Atrial Fibrillation
Solves the Cauchy Momentum equations for a non-newtonian incompressible fluid using the Finite Difference Method on a 2D grid. The solver is of the explicit type with each iteration corresponding to a step forward in time. The viscosity is updated at each grid point as per the truncated power law.
A Codex skill for SCI manuscript polishing in mechanical engineering, fluid mechanics, heat transfer, and additive manufacturing.
Extention for rheoInterFoam to solve electric equations for two-phase visco-elastic flows
Implementação de um modelo computacional baseado no método SPH para simular o fluxo de rejeitos de mineração após o rompimento de barragens. O modelo foi desenvolvido como parte do TCC apresentado à Faculdade de Computação da Universidade Federal de Uberlândia.
Doctoral thesis (USP): numerical verification of high-order solvers for incompressible viscoelastic flows via the Method of Manufactured Solutions. Fortran reference programs, Python library, and ML-ready datasets.
A Navier-Stokes-Fourier solver for generalized material laws
wxMaxima example codes for the class notes: "Fluidos Complejos: Fundamentos Teóricos y Computacionales".
RheOFormer: A transformer_based neural operator for simulation of complex fluids and flows. Covers 1D rheometric response predictions, and full 2D viscoelastic flow predictions on different geometries including irregular meshes.
Run full JVM Clojure with fast startup using a native GraalVM binary that supports runtime eval, require, and direct Java source execution.
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