Prof. Ralf Deiterding

Research Interests
	Innovative solution algorithms for computational fluid dynamics and computational engineering - Fluid-structure interaction simulation - Numerical methods for multi-phase and reactive flows - Dynamically adaptive Lattice Boltzmann methods - Cartesian methods with embedded geometries, level-set methods - Strand meshing techniques
	Finite volume methods for multi-dimensional flows, especially for hyperbolic problems - Robust and reliable high-resolution shock-capturing schemes - Dynamically adaptive discontinuous Galerkin methods
	Efficient large-scale and parallel numerical simulation of multi-physics problems - Fully coupled simulation of fluid-structure problems - Reactive flows, especially detonation waves - Large-eddy simulation of compressible turbulence with shock waves
	Detonation propulsion for rockets and air-breathing engines - Rotating detonation engines - Oblique detonation engines
	Hypersonic aerothermodynamic simulation - Thermal and chemical non-equilibrium models - Direct numerical simulation of boundary layer flows over rough surfaces
	High-performance and parallel scientific computing - Dynamic mesh adaptation and automatic load balancing - Multiscale modeling and simulation - Hybrid parallelization - Object-oriented concepts for large simulation software
	Modeling and Simulation of Complex Systems - Verification & validation and parameter optimization - Application of uncertainty quantification methods
	Development of parallel hierarchical structured adaptive mesh refinement methods (SAMR) - Extensions of the hyperbolic Berger-Collela SAMR algorithm - Adaptive geometric multigrid - Scalability of SAMR algorithms on petascale architectures - Hierarchical multi-constraint partitioning algorithms
	Photonics simulation - Reliable and higher-order split-step Fourier methods
	Current Research Projects

Short biography
	Professor of Numerical Methods in Fluid Dynamics, School of Engineering, University of Southampton
	Adjunct Associate Professor in Mathematics, University Tennessee - Knoxville, Department of Mathematics
Jul 15-Jul 22
	Associate Professor in Fluid Dynamics, Engineering and the Environment, University of Southampton
Jul 13-Jun 15
	Group Leader "Computational Fluid Dynamics", Department Fluid Systems, DLR Institute of Aerodynamics and Flow Technology, Göttingen
Sep 11-Aug 16
	Faculty, Joint Associate Professor, UTK-ORNL Center for Interdisciplinary Research and Graduate Education
Aug 08-Jun 13
	Research staff member in the Computational Mathematics Group at Oak Ridge National Laboratory Research affiliate University Tennessee - Knoxville, Joint Institute for Computational Sciences
Sep 06-Aug 08
	Alston S. Householder Postdoctoral Fellow in Scientific Computing of the Computational Science and Mathematics Division, Oak Ridge National Laboratory
since Oct 04
	Chief software architect for the Virtual Test Facility (VTF), a software infrastructure for three-dimensional fully coupled fluid-structure simulations AMROC is the dynamically adaptive fluid-solver framework inside of the VTF. Collaborators can request login procedures for the VTF Wiki content management system per email.
Jul 03-Aug 06
	Postdoctoral scholar in Applied and Computational Mathematics, California Institute of Technology DOE ASCI Center for Simulating the Dynamic Response of Materials at the California Institute of Technology
Feb 98-Jun 03
	Research Assistant at the chair for Numerical Mathematics and Scientific Computing, Technical University Cottbus PhD thesis: Parallel adaptive simulation of multi-dimensional detonation structures Development of AMROC - A Framework for Blockstrucured Adaptive Mesh Refinement in Object-oriented C++ Project: Analysis and simulation of flows for multi-component gas-mixtures, supported by German high-priority research program Analysis and Numerics of Conservation Laws Teaching Assistant: Efficient implementation of numerical algorithms in C
Oct 92-Jan 98
	Study of Applied and Technical Mathematics at Technical University Clausthal Diploma thesis: Numerical coupling of the 3D flow-code FIRE to the 1D hydraulic-code AMESIM for the design of Diesel-injection systems
Detailed information, including a list of publications, can be found in my curriculum vitae.

Prof. Dr. Ralf Deiterding

Research Interests

Short biography

last update: 4/21/24