FLEUR Features
Introduction:
FLEUR is a new FLAPW-Code the development of which is partly funded by
the EUROPEAN RESEARCH NETWORK (Psik)
The FLAPW-Method (Full Potential Linearized Augmented Plane Wave
Method) is an all-electron method which within density functional
theory is universally applicable to all atoms of the periodic
table and to systems with compact as well as open structures. It
is widely considered to be the most precise electronic structure
method in solid state physics. Due to the all-electron nature of
the method, magnetism is included rigorously and nuclear
quantities e.g. isomer shift, hyperfine field, electric field
gradient (EFG), and core level shift are calculated routinely.
Also open systems such as surfaces, clusters or inorganic
molecules represent no basic problem. The capability of
calculating the forces exerted on the atoms within the LAPW method
opens the gate to structure optimization and molecular dynamics
and puts this method up on the same category as the widespread
pseudopotential method, but able of treating systems pain-full or
unattainable by the pseudopotential method.
The FLEUR-code is partly developed in collaboration with other groups, please refer to the
group page.
In particular, it comprises the following features.
Features in detail:
- Bulk and film geometry.
FLEUR can use a truly two-dimensional basis-set and can thus
calculate ultra-thin films, without the need of supercell setups.
- More than one energy panel
- Local orbitals to supplement the LAPW-basis.
- Forces exerted on the atoms
- Electric fields applied to surfaces.
- Spin-Orbit interaction in combination with magnetism.
- Non-collinear magnetic structures with and without external constraints, spiral spin density waves.
- Full-relativistic treatment of core electrons (Dirac + Magnetism).
- LDA XC: X_{alpha}, Wigner, MJW, VWN, Perdew-Zunger, BH; GGA XC: PW91.
- LDA+U Quasi-Newton-Methods to accelerate charge self-consistency.
Technical features:
- Second variation techniques to speed up eigenvalue problem
- Downfolding into subspace to speed up eigenvalue problem
- Runs on a wide range of architectures.
Due to the use of standard libraries, FLEUR runs on a large variety
of hardware, including Linux PCs and DEC Unix Workstations as well as
Cray T3E and IBM Regatta supercomputers.
- Massive parallelization.
Both the k-point loop and the eigenvalue-problem are parallelized
and scale very well on MPI machines.
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