A scilab script that models 1-D gravity-driven multiphase flow/percolation; a Monte Carlo version is also included
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Updated
Nov 25, 2016 - Scilab
A scilab script that models 1-D gravity-driven multiphase flow/percolation; a Monte Carlo version is also included
Simulating Rainfall with openFoam
Slides for the talk entitled "An improved quantitative measure of the tendency for volcanic ash plumes to form in water: implications for the deposition of marine ash beds", given at the Inaugural UK Fluids Conference 2016 in London, UK on 7-9 September 2016.
A Julia-language script for modeling LNAPL floating on top of groundwater in a single-layer unconfined aquifer using an integral finite difference methodology
Personal repository for information about my interests, projects and more.
Models and extension to OpenFOAM for reactive and multiphase flows
Scalable rendering of CFD simulation results realistically. Scene templates to kick-start rendering.
The software is able to analyse raw Voltage signals of double-tip phase-detection intrusive probes producing a wide range of air-water flow properties.
Tracking Multiphase blood flow into a tumor
Some codes to open and process data from multiphase flow Wire Mesh Sensor
Based on dambreak case with interFoam solver, the SouCase is an GDI injector simulation example with low pressure.
Repository for Basilisk C and Python script for Coaxial Flow Simulation for my 3rd Year Individual Project.
Inference of gas-liquid flowrate using neural networks
Finite Volume Solver for 1D advection-diffusion using a Point Implicit Method written as part of a class project for "Fundamentals of CFD" course at ETH Zurich
Scalable rendering of CFD simulation results realistically. Scene templates to kick-start rendering.
An AI-powered app for flowing bottom-hole pressure estimation and analysis in oil wells with multiphase flow.
Repository for the determination of the most promising machine learning algorithm and the best set of dimensionless features able to solve the challenging classification problem of adiabatic flow pattern prediction
Modeling of droplet dynamics using multi-phase lattice Boltzmann method
This repository contains the python codes for the physics-inspired neural network (PINN) model of forces and torques in particle-laden flows.
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