Mehrdad Yousefi

ORCID: 0000-0002-6497-7166
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About
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Research Areas
  • nanoparticles nucleation surface interactions
  • Solidification and crystal growth phenomena
  • Aluminum Alloy Microstructure Properties
  • Microstructure and mechanical properties
  • Corrosion Behavior and Inhibition
  • Cerebrovascular and Carotid Artery Diseases
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Advancements in Battery Materials
  • Conducting polymers and applications
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Advanced Battery Technologies Research
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Supercapacitor Materials and Fabrication
  • Electrodeposition and Electroless Coatings
  • Nanomaterials and Printing Technologies
  • Force Microscopy Techniques and Applications
  • Lattice Boltzmann Simulation Studies
  • Intracranial Aneurysms: Treatment and Complications
  • Welding Techniques and Residual Stresses
  • Coronary Interventions and Diagnostics
  • Fatigue and fracture mechanics
  • Material Dynamics and Properties
  • Electrochemical Analysis and Applications

Clemson University
2019-2021

Amirkabir University of Technology
2014-2016

We present an implementation and scaling analysis of a GPU-accelerated kernel for HemeLB, high-performance Lattice Boltzmann code sparse complex geometries. describe the structure GPU we study scalability HemeLB on cluster under normal operating conditions with real-world application cases. investigate effect CUDA block size over-subscription single-GPU performance, strong-scaling multi-GPU parallel simulations using two different hardware models (P100 V100) variety large cerebral aneurysm...

10.1109/access.2021.3073667 article EN cc-by IEEE Access 2021-01-01

In this research, atomistic molecular dynamics simulations are combined with mesoscopic phase-field computational methods in order to investigate phase-transformation polycrystalline Aluminum microstructure. fact, microstructural modeling of engineering materials could help optimize their mechanical properties for industrial applications (e.g. directional solidification turbine blades). As a result, multiscale approach is developed find relation between manufacturing variables temperature)...

10.20944/preprints201906.0279.v1 preprint EN 2019-06-27

10.1103/aps.dfd.2018.gfm.v0016 article EN cc-by-nc 75th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion 2018-11-18

In this research, atomistic molecular dynamics simulations are combined with mesoscopic phase-field computational methods in order to investigate phase-transformation polycrystalline Aluminum microstructure. fact, microstructural modeling of engineering materials could help optimize their mechanical properties for industrial applications (e.g. directional solidification turbine blades). As a result, multiscale approach is developed find relation between manufacturing variables temperature)...

10.48550/arxiv.1907.01461 preprint EN cc-by arXiv (Cornell University) 2019-01-01
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