Graduate Seminar Series

March 03, 2023

10:00 a.m. ET

7500 Wean Hall

On Physics-informed Neural Networks for Grain Boundary Dynamics

Nearly all structural and functional materials are polycrystalline systems; they are composed of crystalline grains that are internally joined at grain boundaries (GBs). Even minute amounts of dopants at GBs result in profound changes to GB dynamics, specifically grain growth during processing treatments or under high-temperature operating conditions. While GB solute segregation has been the subject of active research, most existing studies focus on the thermodynamics of GB segregation and the kinetic role (i.e., dynamic solute drag) remains unexplored. The challenge here is that GB solute drag depends on several properties, such as alloy thermodynamics (e.g., heat of mixing), and kinetic processes including GB solute diffusion and boundary migration; solute drag is a hypersurface. In this talk, we present physics-informed neural networks (PINNs) to investigate GB solute drag in regular solution metallic alloys. The PINN model not only predicts the solute drag hypersurface, but also honors the nonlinear governing equations describing GB segregation and solute transport. Representative PINN results are presented to reveal new insights about the roles of asymmetric GB segregation and solute-solute interactions in drag effects. In broad terms, our modeling approach provides avenues to detangle the thermodynamic and kinetic roles of GB segregation in grain coarsening of a wide range of metallic alloys. 

Fadi Abdeljawad, Ph.D, Assistant Professor, Mechanical Engineering/Materials Science and Engineering, Clemson University

Fadi AbeljawadFadi Abdeljawad is the Bob and Kay Stanzione Assistant Professor and Dean’s Faculty Fellow in the Department of Mechanical Engineering with a joint appointment in the Department of Materials Science and Engineering at Clemson University. Prior to joining Clemson in 2018, he was a Staff Scientist (2014- 2018) in the Computational Materials and Data Science Department at Sandia National Laboratories. Abdeljawad obtained his M.A. (2010) and Ph.D. (2014) from Princeton University with a primary focus on theoretical and computational materials science. He is the recipient of the 2022 TMS Early Career Faculty Fellow Award, 2019 Ralph E. Powe ORAU Award, 2022 Clemson Junior Researcher of the Year Award, and 2020 Byars Prize for Excellence in Teaching Award. Abdeljawad’s research is funded by DOD, DOE, NSF, and Sandia National Laboratories.

Upcoming Events

  • December 6 2023

    3:00 PM ET

    Materials Science and Engineering

    Ph.D. Thesis Defense

    Chemo-Mechanical Interactions to Improve Intestinal Retention of Ingestible Medical Devices, presented by Durva Naik

    2327 Wean Hall

  • December 8 2023

    12:00 PM ET

    Materials Science and Engineering

    Graduate Student Seminar

    Unraveling the governing factors for cholesteric liquid crystal self-assembly of polysaccharides presented by CĂ©cile A. C. Chazot, Northwestern University

    Scaife Hall 105

  • December 8 2023

    1:00 PM ET

    Materials Science and Engineering

    Ph.D. Thesis Defense

    Cylindrical Grain Boundary Motion in the Isoconfigurational Ensemble, presented by Anqi Qiu

    2327 Wean Hall

  • December 12 2023

    9:00 AM ET

    Materials Science and Engineering

    Ph.D. Program Information Session

    Join us for a virtual discussion about becoming part of the Materials Science and Engineering graduate student community.

    Zoom link to be shared upon registration

  • December 12 2023

    2:00 PM ET

    Materials Science and Engineering

    Ph.D. Thesis Defense

    Ingestible Electronics for Diagnostics and Therapy, presented by Gaurav Balakrishnan

    Scott Hall 6142

  • December 13 2023

    9:00 AM ET

    Materials Science and Engineering

    Masters Program Information Session

    Join us for a virtual discussion about becoming part of the Materials Science and Engineering graduate student community.

    Zoom link to be shared upon registration