- 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...
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)...
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)...