Postdoctoral Research Scientist, Argonne National Laboratory
Joseph Frimpong is a postdoctoral researcher at Argonne National Laboratory specializing in computational materials science and artificial intelligence for energy and optoelectronic applications. His research centers on integrating advanced AI algorithms and tools into electronic structure codes to accelerate the prediction and optimization of materials properties critical for renewable energy technologies and electronic devices. Leveraging quantum mechanical methods, particularly the GW approximation within many-body perturbation theory, Joseph develops efficient computational workflows that combine theory, simulation, and data-driven approaches to enable faster materials discovery and deeper understanding of heterogeneous interfaces.