Post-doctoral Researcher

Human Resources & Legal

My experience in multiscale modeling (atomistic, FEM and peridynamics) and machine learning will allow me to integrate physics-based knowledge in engineering applications and explore massive design spaces by minimizing computational/material resources.

• Studied crack nucleation from oxide inclusions for forged rotor steel in gas turbine engine under fatigue loading using Peridynamic method and it helped Siemens Energy Inc. to understand crack nucleation is highly dependent on inclusion density, size and their distribution and extreme temperatures.
• Implemented multi-fidelity model to predict crack nucleation from non-metallic inclusion by mixing experimental and peridynamics crack nucleation information.
• Developed surrogate model-based design of experiment with uncertainty propagation using Machine learning method for fuel cell application and designed optimized electrode and electrocatalyst that delivers 36% improvement of oxygen reduction reaction mass activity.

Studied on microstructural evolution and degradation mechanism of solid oxide fuel cell using phase field model and identified that microstructural evolution is dependent on iron particle loading.

Postdoctoral Researcher

Post-doctoral Research Associate

• Implemented hybrid two temperature-molecular dynamics (TTM-MD) model (atomistic to continuum model) for Femtosecond Laser Shock Peening process (LSP) and identified that near surface microstructural change such as voids, defects and grain boundary emission can be controlled by tuning laser intensity.
• Implemented crystal plasticity material model in ABAQUS for LSP and investigated that generated dislocation is concentrated not only below laser peened surface but also propagated through bulk material.
• Implemented Rayleigh damping and infinite element to reduce wave dispersion during LSP simulation.
• Developed a multi-physics computational approach featuring coupled electromagnetic/molecular dynamic simulation and investigated that nanocrystal transformation in plasmonic vesicles can be controlled by laser energy.

Research Assistant

Studied multilayered metallic interface using atomistic simulation and found that misfit dislocation patterns are highly dependent on both layer thickness and temperature for Cu/Ni Nano-laminate composite.

Line-In-Charge in Non-Oxidized Galvanizing Line and 20 High Cold Rolling Mill.

Technical Management Trainee Engineer

Find out detailed information about Mohammad Rezaul Karim, Post-doctoral Researcher in Santa Fe, NM

Mohammad Rezaul Karim: Post-doctoral Researcher in Santa Fe, NM

Mohammad Rezaul Karim

Bangladesh University of Engineering and Technology

Tuskegee University

University of Texas at Dallas