Skip to main content

Ulf D. Schiller

Ulf D. Schiller

Assistant Professor

Phone: (864) 656-2669
Office: 299C Sirrine Hall



Dr. Ulf Schiller holds Master's degrees in Computer Science and Physics from the University of Bielefeld and received his Ph.D. in Physics from the Johannes Gutenberg University Mainz. His dissertation research was concucted at the Max Planck Institute for Polymer Research. Dr. Schiller joined the Department of Materials Science and Engineering after postdoctoral stays at the University of Florida, Forschungszentrum Jülich (Germany), and the Centre for Computational Science at University College London (UK). Dr. Schiller is also a faculty scholar of the School of Health Research (CUSHR) and an affiliate faculty of the AI Research Institute for Science and Engineering (AIRISE) at Clemson University.

Dr. Schiller has extensive experience in developing novel scale-bridging algorithms and high-performance computing techniques for multiphysics transport phenomena in complex fluids and flowing matter. He co-developed the fluctuating lattice Boltzmann method and contributed to several open-source packages including ESPResSo, LB3D, and HemeLB. His current research focuses on mesoscopic simulation methods for interfacial phenomena in complex fluid mixtures, multiphase flows in porous media, and biomedical fluid dynamics in patient-specific geometries. His research group leverages the high performance computing capabilities of the Palmetto cluster to foster computational science for materials research. The group collaborates with experimental research groups and clinicians to develop integrated simulation- and data-driven approaches that accelerate discovery and design of new materials with enhanced performance for energy, environmental, and health applications.


Dr. rer.-nat. (Ph.D.), Johannes Gutenberg University Mainz, Germany (2008)
Dipl.-Phys. (M.S.), University of Bielefeld, Germany (2005)
Dipl.-Inform. (M.S.), University of Bielefeld, Germany (2003)

Research Areas

Computational materials science
Flowing matter and biomaterials
Complex multiphase systems
Lattice Boltzmann methods

Selected Publications

Wang, F., Kumari, S., Schiller, U.D. (2020). Computational Characterization of Nonwoven Fibrous Media. II. Analysis of Microstructure Effects on Permeability and Tortuosity. Phys. Rev. Mater. 4, 083804 (2020). DOI:10.1103/PhysRevMaterials.4.083804

Wang, F., Schiller, U.D., Computational Characterization of Nonwoven Fibrous Media: I. Pore-Network Extraction and Morphological Analysis. Phys. Rev. Mater. 4, 083803 (2020). DOI:10.1103/PhysRevMaterials.4.083803

Schiller, U.D., Kuksenok, O., Lattice-Boltzmann Modeling of Multicomponent Systems: An Introduction. In: Parrill, A.L. and Lipkowitz, K.B., Rev. Comput. Chem. 31, Wiley, (2018). DOI:10.1002/9781119518068.ch1

Schiller, U.D., Wang, F., Multiscale simulation of transport phenomena in porous media: from toy models to materials models. MRS Commun. 8, 358–371, (2018). DOI:10.1557/mrc.2018.29

Groen, D., Richardson, R.A., Coy, R., Schiller, U.D., Chandrashekar, H., Robertson, F., Coveney, P.V., Validation of patient-specific cerebral blood flow simulation using transcranial Doppler measurements. Front. Physiol. 9, 721 (2018). DOI:10.3389/fphys.2018.00721

Schiller, U.D., Krüger, T., Henrich. O., Mesoscopic modelling and simulation of soft matter. Soft Matter 14, 9–26 (2017). DOI:10.1039/C7SM01711A

S. Schmieschek, L. Shamardin, S. Frijters, T. Krüger, U.D. Schiller, J. Harting, and P.V. Coveney. LB3D: A parallel implementation of the Lattice-Boltzmann method for simulation of interacting amphiphilic fluids. Comput. Phys. Comm. 217, 149–161 (2017). DOI:10.1016/j.cpc.2017.03.013