Computational Physics
Development and application of modern and efficient
methods in:
- Monte-Carlo- and Quantum-Monte-Carlo-Simulation.
The emphasis is on the improvement of existing algorithms and on
the development of new methods for applications in the field of
strongly correlated many body systems and in classical statistical
physics:
- Perfect sampling as far as ...
- equilibration
- auto-correlation
- multi modality
... are concerned - Simulation
of infinite systems
- Sign problem
- New cluster algorithms
- Exact diagonalization of Hamiltonians in high
dimensional vector spaces. In particular, we want to determine
- Ground state properties
- Density of states
- Thermodynamic expectation values
- Algorithms are based on
- Lanczos
- Davidson-Liu
- Jacobi-Rotation
- Numerical renormalization (in preparation)
- Boltzmann transport
- Ab-Initio-Quantum-Dynamics (Car-Parinello) (in
preparation)
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Gerd Evertz