Difference between revisions of "Research Focus"
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| Line 33: | Line 33: | ||
* Octree-based approaches | * Octree-based approaches | ||
| + | == Quantum Computing and Computational Physics == | ||
| + | * Tensor network methods | ||
| + | * Quantum Monte Carlo | ||
| + | * Neural-network quantum states | ||
| + | * Quantum Boltzmann equations | ||
| + | * Quantum algorithms development | ||
[[Category:Research]] | [[Category:Research]] | ||
Revision as of 15:55, 20 September 2019
Contents
Efficient Numerical Algorithms
- High-dimensional numerics – Sparse Grids
- Fast iterative solvers – multi-level methods, preconditioners
- Adaptive, octree-based grid generation
- Space-filling curves
- Numerical linear algebra
- Numerical algorithms for image processing
Parallel & High-Performance Computing
- HW-aware numerical programming
- Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability
- Grid Computing
Uncertainty Quantification
- Stochastic Collocation / gPC Methods for different simulation applications
- Sparse Grids in Uncertainty Quantification
Computational Fluid Dynamics
- Discretisation and algorithms on adaptive Cartesian grids
- Fluid-structure interaction
Fields of Application in Simulation
- Molecular dynamics
- Quantum chemistry
- CFD
- Traffic
- Computational Finance
Integration of Simulation Tasks
- Problem solving environments
- Octree-based approaches
Quantum Computing and Computational Physics
- Tensor network methods
- Quantum Monte Carlo
- Neural-network quantum states
- Quantum Boltzmann equations
- Quantum algorithms development
