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Ulf D. Schiller

Ulf D. Schiller

Assistant Professor

Phone: (864) 656-2669
Office: 299C Sirrine Hall
E-mail: uschill@clemson.edu


Overview

Dr. Schiller obtained Master's degrees in Computer Science (Dipl.-Inform.) and Physics (Dipl.-Phys.) from the University of Bielefeld, Germany. He earned his PhD from the Johannes Gutenberg University and the Max Planck Institute for Polymer Research in Mainz, Germany. Subsequently, Schiller received a fellowship in Computational Science from VolkswagenStiftung. After postdoctoral stays at the University of Florida in Gainesville and Forschungszentrum Jülich, Germany, he joined the Centre for Computational Science at University College London, UK, where he maintains a visiting affiliation. In 2016, Dr. Schiller joined Clemson University's Department of Materials Science and Engineering as an Assistant Professor.

Dr. Schiller’s research interests cover a broad range of topics in computational soft matter and bio-inspired materials. He has extensive experience in developing novel scale-bridging algorithms and state-of-the-art simulation techniques. Applications include polymer solutions, complex colloidal suspensions, droplet microfluidics, red blood cells and blood flow. Dr. Schiller contributed the first parallel lattice Boltzmann implementation to the ESPResSo software package and is a regular lecturer at the CECAM sponsored ESPResSo summer schools. At Clemson, he leverages the high performance computing capabilities of the Palmetto cluster to foster the design of new materials through computational science.

Education

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

Itani, M. A., Schiller, U. D., Schmieschek, S., Hetherington, J., Bernabeu, M. O., Chandrashekar, H., Robertson, F., Coveney, P. V., Groen, D. (2015). An automated multiscale ensemble simulation approach for vascular blood flow. J. Comput. Sci. 9, 150-155. https://dx.doi.org/10.1016/j.jocs.2015.04.008

Schiller, U. D., Fleury, J.-B., Seemann, R., Gompper, G. (2015). Collective waves in dense and confined microfluidic droplet arrays. Soft Matter 11, 5850-5861. https://dx.doi.org/10.1039/C5SM01116G

Fleury, J.-B., Schiller, U. D., Thutupalli, S., Gompper, G., Seemann, R. (2014). Mode coupling of phonons in a dense one-dimensional microfluidic crystal. New J. Phys. 16, 063029. https://dx.doi.org/10.1088/1367-2630/16/6/063029

Schiller, U. D. (2014). A unified operator splitting approach for multi-scale fluid-particle coupling in the lattice Boltzmann method. Comput. Phys. Comm. 185, 2586-2597. https://dx.doi.org/10.1016/j.cpc.2014.06.005

Pham, T. T., Schiller, U. D., Prakash, J. R., Dünweg, B. (2009). Implicit and explicit solvent models for the simulation of a single polymer chain in solution: Lattice Boltzmann vs Brownian dynamics. J. Chem. Phys. 131, 164114. https://dx.doi.org/10.1063/1.3251771

Dünweg, B., Schiller, U. D., Ladd, A. J. C. (2007). Statistical mechanics of the fluctuating lattice Boltzmann equation. Phys. Rev. E 76, 036704. https://dx.doi.org/10.1103/PhysRevE.76.036704