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https://github.com/triqs/dft_tools
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113 lines
4.6 KiB
ReStructuredText
113 lines
4.6 KiB
ReStructuredText
Structure of DFT Tools
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======================
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.. image:: images/structure.png
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:width: 700
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:align: center
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The central part of :program:`dft_tools`, which is performing the
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steps for the DMFT self-consistency cycle, is written following the
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same philosophy as the :ref:`TRIQS <triqslibs:welcome>` toolbox. At
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the user level, easy-to-use python modules are provided that allow to
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write simple and short scripts performing the actual
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calculation. Here, we will describe the general structure of the
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package, for the details of how to use the modules, please consult the
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user guide of this :ref:`documentation`.
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The interface layer
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-------------------
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Since the input for this DMFT part has to be provided by DMFT
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calculations, there needs to be another layer that connects the
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python-based modules with the DFT output. Naturally, this layer
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depends on the DFT package at hand. At the moment, there is an
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interface to the Wien2k band structure package, and a very light
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interface that can be used in a more general setup. Note that this
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light interface layer **does not** allow full charge self-consistent
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calculations.
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Wien2k interface
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""""""""""""""""
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This interface layer consists of two parts. First, the output from Wien2k
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is taken, and localised Wannier orbitals are constructed. This is done
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by the fortran program :program:`dmftproj`. The second part consist in
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the conversion of the :program:`dmftproj` into the hdf5 file
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format to be used for the DMFT calculation. This step is done by a
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python routine called :class:`Wien2kConverter`, that reads the text output and
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creates the hdf5 input file with the necessary ingredients. Quite
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naturally, :program:`dft_tools` will adopt this converter concept also for future
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developments for other DFT packages.
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General interface
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"""""""""""""""""
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In addition to the specialised Wien2k interface, :program:`dft_tools`
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provides also a very light-weight general interface. It basically
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consists of a very simple :class:`HkConverter`. As input it requires a
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hamiltonian matrix :math:`H_{mn}(\mathbf{k})` written already in
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localised-orbital indices :math:`m,n`, on a :math:`\mathbf{k}`-point
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grid covering the Brillouin zone, and just a few other informations
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like total numer of electrons, how many correlated atoms in the unit
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cell, and so on. It converts this hamiltonian into a hdf5 format and
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sets some variables to standard values, such that it can be used with
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the python modules performing the DMFT calculation. How the
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hamiltonian matrix :math:`H_{mn}(\mathbf{k})` is actually calculated,
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is **not** part of this interace.
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The DMFT calculation
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--------------------
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As mentioned above, there are a few python routines that allow to
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perform the multi-band DMFT calculation in the context of real
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materials. The major part is contained inte module
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:class:`SumkDFT`. It contains routines to
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* calculate local Greens functions
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* do the upfolding and downfolding from Bloch bands to Wannier
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orbitals
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* calculate the double-counting correction
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* calculate the chemical potential in order to get the electron count right
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* other things like determining the structure of the local
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hamiltonian, rotating from local to global coordinate systems, etc.
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At the user level, all these routines can be used to construct
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situation- and problem-dependent DMFT calculations in a very efficient
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way.
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Full charge self consistency
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----------------------------
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Using the Wien2k interface, one can perform full charge
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self-consistent calculations. :class:`SumkDFT` provides routines to
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calculate the correlated density matrix and stores it in a format that
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can be read in by the :program:`lapw2` part of the Wien2k
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package. Changing a one-shot calculation in a full charge
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self-consistent one is only a couple of additional lines in the code!
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Post-processing
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---------------
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The main result of DMFT calculation is the interacting Greens function
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and the Self energy. However, one is normally interested in
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quantitites like band structure, density of states, or transport
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properties. In order to calculate these things, :program:`dft_tools`
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provides the post-processing modules :class:`SumkDFTTools`. It
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contains routines to calculate
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* (projected) density of states
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* partial charges
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* correlated band structures (*spaghettis*)
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* transport properties such as optical conductivity, resistivity,
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or thermopower.
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.. warning::
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At the moment neither :ref:`TRIQS<triqslibs:welcome>` nor :program:`dft_tools`
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provides Maximum Entropy routines! You can use the Pade
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approximants implemented in the TRIQS library, or you use your own
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home-made Maximum Entropy code to do the analytic continuation from
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Matsubara to the real-frequency axis.
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