Mostafa Safdari Shadloo

Associate Professor

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France

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Mostafa Safdari Shadloo is an Associate Professor at the INSA of Rouen, France. His research areas encompass numerical modeling and simulations, focusing on multi-phase flows, electrohydrodynamics, and applications of the lattice Boltzmann method. Recent articles co-authored by him explore themes such as magnetic hyperthermia therapy, flow instabilities in thermosyphons, and particle deposition processes.

Mostafa Safdari Shadloo

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Articles (24)

CooLBM: A GPU-accelerated collaborative open-source reactive multi-phase/component simulation code via lattice Boltzmann method

Estimation of the effect of blood vessels on magnetic hyperthermia therapy of liver tumors using patient-specific anatomical models

Mitigation of flow instabilities in multiport minichannel thermosyphon through a modified loop design with separate vapor-liquid paths

Impact of an oblique electric field on Rayleigh–Taylor instability in perfect and leaky dielectric fluids

A numerical investigation of particle deposition on a substrate

Interactions of shock waves with polydisperse particle clouds: Effects on mitigation and topological heterogeneity

Lattice Boltzmann simulations of heterogeneous combustion reactions for application in porous media

A modified continuum surface force (M-CSF) model for two-phase flow problems in smoothed particle hydrodynamics

A fully explicit incompressible smoothed particle hydrodynamics method for simulating 2-D electrohydrodynamic multi-phase flows based on leaky dielectric model

Effect of nanostructure and BET surface area on the oxygen reactivity of soot filter cakes

Electrohydrodynamic flows inside a neutrally buoyant leaky dielectric drop

Modeling soot filter regeneration process through surface-reactive flow in porous media using iterative lattice Boltzmann method

Numerical modeling of heterogeneous stimuli-responsive hydrogels

A smoothed particle hydrodynamics method for two-phase electrohydrodynamics modeling with Nernst–Planck equations

A hybrid deep learning - CFD approach for modeling nanoparticles’ sedimentation processes for possible application in clean energy systems

A hybrid deep learning- CFD approach for modeling nanoparticles? sedimentation processes for possible application in clean energy systems

Application of water scrubbing technique for biogas upgrading in a microchannel

Coupled Electrohydrodynamic and Thermocapillary Instability of Multi-Phase Flows Using an Incompressible Smoothed Particle Hydrodynamics Method

A fully explicit incompressible Smoothed Particle Hydrodynamics method for multiphase flow problems

Effect of streak employing control of oblique-breakdown in a supersonic boundary layer with weak wall heating/cooling

Coupled Electrohydrodynamic and Thermocapillary Instability of Multi-Phase Flows Using an Incompressible Smoothed Particle Hydrodynamics Method

A novel temperature prediction method without using energy equation based on physics-informed neural network (PINN): A case study on plate-circular/square pin-fin heat sinks

A review of recent progress in biogas upgrading: With emphasis on carbon capture

A review on heat transfer characteristics of cryogenic heat pipes

Collaborators (3)

M. J. Kloker

Thomine Olivier

Ulrich Nieken

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