معرفی
Ulf Schiller is an Associate Professor at the University of Delaware (UD), holding a joint appointment in the Computer and Information Sciences and Materials Science and Engineering departments. Prior to UD (since 2023), he was an Assistant Professor at Clemson University, where he established computational materials science as a key research area. His academic journey includes a Ph.D. in Physics from Johannes Gutenberg University Mainz (2008), dual M.S. degrees in Physics and Computer Science from the University of Bielefeld (2005/2003), and postdoctoral research at the University of Florida, Forschungszentrum Jülich, and University College London.
Education:
- Ph.D., Physics, Johannes Gutenberg University Mainz, 2008
- M.S., Physics, University of Bielefeld, 2005
- M.S., Computer Science, University of Bielefeld, 2003
Research Interests: Dr. Schiller’s work centers on computational materials science, multiscale modeling, and high-performance computing, with applications in soft matter physics, biomedical fluid dynamics, and machine learning-driven materials discovery. He develops physics-informed machine learning algorithms to study interfacial phenomena, multiphase transport in porous materials, and patient-specific biomedical fluid dynamics.
Research Trends in Publications: His recent articles focus on lattice Boltzmann simulations of emulsion gels, magnetic particle stabilization, and the impact of decontamination treatments on N95 respirators. A unifying theme is leveraging computational tools (e.g., LAMMPS, HemeLB) for predictive modeling in complex systems.
Awards and Grants: No awards explicitly mentioned, but his interdisciplinary research suggests potential grant support from funding bodies focused on materials science and computational methods.
Labs and Teams: He leads the Computational Materials Science Group at UD, advancing high-performance computing and machine learning applications in materials discovery and biomedical engineering.
