.. module:: ase.calculators.vasp .. _vasp-calculator: ==== VASP ==== .. contents:: Table of Conents Introduction ============ VASP_ is a density-functional theory code using pseudopotentials or the projector-augmented wave method and a plane wave basis set. This interface makes it possible to use VASP_ as a calculator in ASE, and also to use ASE as a post-processor for an already performed VASP_ calculation. .. _VASP: https://www.vasp.at/ Environment variables ===================== VASP execution --------------- You need to add an environment variable which contains instructions on how to execute VASP. This must be stored as either :envvar:`ASE_VASP_COMMAND` or :envvar:`VASP_COMMAND` (the latter for legacy reasons). This could look something like this: .. highlight:: bash :: $ export ASE_VASP_COMMAND="mpirun vasp_std" This is not required, if the ``command`` keyword is specified in the calculator itself. The ``command`` keyword also overrides the enrivonment variables, e.g.:: Vasp(command='mpiexec vasp_std') *Alternatively*, you can write a script called :file:`run_vasp.py` containing something like this:: import os exitcode = os.system('vasp') The environment variable :envvar:`VASP_SCRIPT` must point to that file. This approach allows for doing other things pre- and post-calculation. Pseudopotentials ---------------- A directory containing the pseudopotential directories :file:`potpaw` (LDA XC) :file:`potpaw_GGA` (PW91 XC) and :file:`potpaw_PBE` (PBE XC) is also needed, and it is to be put in the environment variable :envvar:`VASP_PP_PATH`. Set both environment variables in your shell configuration file: .. highlight:: bash :: $ export VASP_SCRIPT=$HOME/vasp/run_vasp.py $ export VASP_PP_PATH=$HOME/vasp/mypps .. _VASP vdW wiki: https://www.vasp.at/wiki/index.php/VdW-DF_functional_of_Langreth_and_Lundqvist_et_al. The following environment variable can be used to automatically copy the van der Waals kernel to the calculation directory. The kernel is needed for vdW calculations, see `VASP vdW wiki`_, for more details. The kernel is looked for whenever ``luse_vdw=True``. .. highlight:: bash :: $ export ASE_VASP_VDW=$HOME/ The environment variable :envvar:`ASE_VASP_VDW` should point to the folder where the :file:`vdw_kernel.bindat` file is located. VASP Calculator =============== The default setting used by the VASP interface is .. autoclass:: Vasp Below follows a list with a selection of parameters ============== ========= ============== ============================ keyword type default value description ============== ========= ============== ============================ ``directory`` ``str`` ``.`` Directory of the VASP run. Defaults to running in the current working directory. ``command`` ``str`` None Instructions on how to execute VASP. If this is ``None``, either the :envvar:`ASE_VASP_COMMAND`, :envvar:`VASP_COMMAND`, or :envvar:`VASP_SCRIPT` will be used (in that order). ``txt`` Various ``vasp.out`` Where to redict the stdout text from the VASP execution. Defaults to ``vasp.out``. If it is set to a string, the file will always be opened in folder specified by the ``directory`` keyword. ``restart`` ``bool`` None Restart old calculation or use ASE for post-processing ``xc`` ``str`` 'PW91' XC-functional. Defaults to None if ``gga`` set explicitly. ``setups`` ``str`` None Additional setup option ``pp`` ``str`` Set by ``xc`` Pseudopotential (POTCAR) set or ``gga`` used (LDA, PW91 or PBE). ``kpts`` various `\Gamma`-point **k**-point sampling ``gamma`` ``bool`` None `\Gamma`-point centered **k**-point sampling ``reciprocal`` ``bool`` None Use reciprocal units if **k**-points are specified explicitly ``charge`` ``int`` None Net charge per unit cell given in units of the elementary charge, as an alternative to specifying ``nelect``. **Note**: The now-deprecated ``net_charge`` parameter worked just like this one but with the sign inverted. ``prec`` ``str`` Accuracy of calculation ``encut`` ``float`` Kinetic energy cutoff ``ediff`` ``float`` Convergence break condition for SC-loop. ``nbands`` ``int`` Number of bands ``algo`` ``str`` Electronic minimization algorithm ``ismear`` ``int`` Type of smearing ``sigma`` ``float`` Width of smearing ``nelm`` ``int`` Maximum number of SC-iterations ``ldau_luj`` ``dict`` LD(S)A+U parameters ============== ========= ============== ============================ For parameters in the list without default value given, VASP will set the default value. Most of the parameters used in the VASP :file:`INCAR` file are allowed keywords. See the official `VASP manual`_ for more details. Input arguments specific to the `VTST add-ons`_ for VASP are also supported. .. _VASP manual: https://www.vasp.at/wiki/index.php/The_VASP_Manual .. _VTST add-ons: https://theory.cm.utexas.edu/vtsttools/ .. note:: Parameters can be changed after the calculator has been constructed by using the :meth:`~ase.calculators.vasp.Vasp.set` method: >>> calc.set(prec='Accurate', ediff=1E-5) This would set the precision to Accurate and the break condition for the electronic SC-loop to ``1E-5`` eV. Exchange-correlation functionals ================================ The ``xc`` parameter is used to define a "recipe" of other parameters including the pseudopotential set ``pp``. It is possible to override any parameters set with ``xc`` by setting them explicitly. For example, the screening parameter of a HSE calculation might be modified with >>> calc = ase.calculators.vasp.Vasp(xc='hse06', hfscreen=0.4) The default pseudopotential set is potpaw_PBE unless ``xc`` or ``pp`` is set to ``pw91`` or ``lda``. ========================== ===================================== ``xc`` value Parameters set ========================== ===================================== lda, pbe, pw91 ``pp`` (``gga`` set implicitly in POTCAR) pbesol, revpbe, rpbe, am05 ``gga`` blyp ``gga``, ``aldax``, ``aggax``, ``aggac``, ``aldac`` tpss, revtpss, m06l ``metagga`` vdw-df, optpbe-vdw ``gga``, ``luse_vdw``, ``aggac`` optb88-vdw, obptb86b-vdw ``gga``, ``luse_vdw``, ``aggac``, ``param1``, ``param2`` beef-vdw ``gga``, ``luse_vdw``, ``zab_vdw`` vdw-df2 ``gga``, ``luse_vdw``, ``aggac``, ``zab_vdw`` hf ``lhfcalc``, ``aexx``, ``aldac``, ``aggac`` pbe0 ``gga``, ``lhfcalc`` b3lyp ``gga``, ``lhfcalc``, ``aexx``, ``aggax``, ``aggac``, ``aldac`` hse03, hse06, hsesol ``gga``, ``lhfcalc``, ``hfscreen`` ========================== ===================================== Additional ``xc`` recipes are available for several of the recent functionals from the Truhlar group (i.e. ``sogga``, ``soga11``, ``n12``, ``n12-sx``, ``mn12l``, ``gam``, ``hle17``, ``revm06l``, ``m06sx``), which require VASP to be patched with the `MN-VFM module `_. It is possible for the user to temporarily add their own ``xc`` recipes without modifying ASE, by updating a dictionary. For example, to implement a hybrid PW91 calculation: .. code-block:: python from ase.calculators.vasp import Vasp Vasp.xc_defaults['pw91_0'] = {'gga': '91', 'lhfcalc': True} calc = Vasp(xc='PW91_0') Note that the dictionary keys must be *lower case*, while the ``xc`` parameter is case-insensitive when used. Setups ====== For many elements, VASP is distributed with a choice of pseudopotential setups. These may be hard/soft variants of the pseudopotential or include additional valence electrons. Three base setups are provided: minimal (default): If a PAW folder exists with the same name as the element, this will be used. For the other elements, the PAW setup with the least electrons has been chosen. recommended: corresponds to the `table of recommended PAW setups `_ supplied by the VASP developers. gw: corresponds to the `table of recommended setups for GW `_ supplied by the VASP developers. Where elements are missing from the default sets, the Vasp Calculator will attempt to use a setup folder with the same name as the element. A default setup may be selected with the ``setups`` keyword: .. code-block:: python from ase.calculators.vasp import Vasp calc = Vasp(setups='recommended') To use an alternative setup for all instances of an element, use the dictionary form of ``setups`` to provide the characters which need to be added to the element name, e.g. .. code-block:: python calc = Vasp(xc='PBE', setups={'Li': '_sv'}) will use the ``Li_sv`` all-electron pseudopotential for all Li atoms. To apply special setups to individual atoms, identify them by their zero-indexed number in the atom list and use the full setup name. For example, .. code-block:: python calc = Vasp(xc='PBE', setups={3: 'Ga_d'}) will treat the Ga atom in position 3 (i.e. the fourth atom) of the atoms object as special, with an additional 10 d-block valence electrons, while other Ga atoms use the default 3-electron setup and other elements use their own default setups. The positional index may be quoted as a string (e.g. ``{'3': 'Ga_d'}``). These approaches may be combined by using the 'base' key to access a default set, e.g. .. code-block:: python calc = Vasp(xc='PBE', setups={'base': 'recommended', 'Li': '', 4: 'H.5'}) Spin-polarized calculation ========================== If the atoms object has non-zero magnetic moments, a spin-polarized calculation will be performed by default. Here follows an example how to calculate the total magnetic moment of a sodium chloride molecule. .. literalinclude:: NaCl.py In this example the initial magnetic moments are assigned to the atoms when defining the Atoms object. The calculator will detect that at least one of the atoms has a non-zero magnetic moment and a spin-polarized calculation will automatically be performed. The ASE generated :file:`INCAR` file will look like: .. literalinclude:: INCAR_NaCl .. note:: It is also possible to manually tell the calculator to perform a spin-polarized calculation: >>> calc.set(ispin=2) This can be useful for continuation jobs, where the initial magnetic moment is read from the WAVECAR file. Brillouin-zone sampling ======================= Brillouin-zone sampling is controlled by the parameters ``kpts``, ``gamma`` and ``reciprocal``, and may also be set with the VASP parameters ``kspacing`` and ``kgamma``. Single-parameter schemes ------------------------ A **k**-point mesh may be set using a single value in one of two ways: Scalar ``kpts`` If ``kpts`` is declared as a scalar (i.e. a float or an int), an appropriate KPOINTS file will be written. The value of ``kpts`` will be used to set a length cutoff for the Gamma-centered “Automatic” scheme provided by VASP. (See `first example `_ in VASP manual.) KSPACING and KGAMMA Alternatively, the **k**-point density can be set in the INCAR file with these flags as `described in the VASP manual `_. If ``kspacing`` is set, the ASE calculator will not write out a KPOINTS file. Three-parameter scheme ---------------------- Brillouin-zone sampling can also be specified by defining a number of subdivisions for each reciprocal lattice vector. This is the `second “Automatic” scheme `_ described in the VASP manual. In the ASE calculator, it is used by setting ``kpts`` to a sequence of three ``int`` values, e.g. ``[2, 2, 3]``. If ``gamma` is set to ``True``, the mesh will be centred at the `\Gamma`-point; otherwise, a regular Monkhorst-Pack grid is used, which may or may not include the `\Gamma`-point. In VASP it is possible to define an automatic grid and shift the origin point. This function is not currently included in the ASE calculator. The same result can be achieved by using :func:`ase.dft.kpoints.monkhorst_pack` to generate an explicit list of **k**-points (see below) and simply adding a constant vector to the matrix. For example, .. code-block:: python import ase.dft.kpoints kpts = ase.dft.kpoints.monkhorst_pack([2, 2, 1]) + [0.25, 0.25, 0.5] creates an acceptable ``kpts`` array with the values .. code-block:: python array([[ 0. , 0. , 0.5], [ 0. , 0.5, 0.5], [ 0.5, 0. , 0.5], [ 0.5, 0.5, 0.5]]) However, this method will prevent VASP from using symmetry to reduce the number of calculated points. Explicitly listing the **k**-points ----------------------------------- If an *n*-by-3 or *n*-by-4 array is used for ``kpts``, this is interpreted as a list of *n* explicit **k**-points and an appropriate KPOINTS file is generated. The fourth column, if provided, sets the sample weighting of each point. Otherwise, all points are weighted equally. Usually in these cases it is desirable to set the ``reciprocal`` parameter to ``True``, so that the **k**-point vectors are given relative to the reciprocal lattice. Otherwise, they are taken as being in Cartesian space. Band structure paths -------------------- VASP provides a “line-mode” for the generation of band-structure paths. While this is not directly supported by ASE, relevant functionality exists in the :mod:`ase.dft.kpoints` module. For example: .. code-block:: python import ase.build from ase.dft.kpoints import bandpath si = ase.build.bulk('Si') kpts, x_coords, x_special_points = bandpath('GXL', si.cell, npoints=20) returns an acceptable ``kpts`` array (for use with ``reciprocal=True``) as well as plotting information. LD(S)A+U ======== The VASP +U corrections can be turned on using the default VASP parameters explicitly, by manually setting the ``ldaul``, ``ldauu`` and ``ldauj`` parameters, as well as enabling ``ldau``. However, ASE offers a convenient ASE specific keyword to enable these, by using a dictionary construction, through the ``ldau_luj`` keyword. If the user does not explicitly set ``ldau=False``, then ``ldau=True`` will automatically be set if ``ldau_luj`` is set. For example: .. code-block:: python calc = Vasp(ldau_luj={'Si': {'L': 1, 'U': 3, 'J': 0}}) will set ``U=3`` on the Si p-orbitals, and will automatically set ``ldau=True`` as well. Restart old calculation ======================= To continue an old calculation which has been performed without the interface use the ``restart`` parameter when constructing the calculator >>> calc = Vasp(restart=True) Then the calculator will read atomic positions from the :file:`CONTCAR` file, physical quantities from the :file:`OUTCAR` file, **k**-points from the :file:`KPOINTS` file and parameters from the :file:`INCAR` file. .. note:: Only Monkhorst-Pack and \Gamma-centered **k**-point sampling are supported for restart at the moment. Some :file:`INCAR` parameters may not be implemented for restart yet. Please report any problems to the ASE mailing list. The ``restart`` parameter can be used , as the name suggest to continue a job from where a previous calculation finished. Furthermore, it can be used to extract data from an already performed calculation. For example, to get the total potential energy of the sodium chloride molecule in the previous section, without performing any additional calculations, in the directory of the previous calculation do: >>> calc = Vasp(restart=True) >>> atoms = calc.get_atoms() >>> atoms.get_potential_energy() -4.7386889999999999 Storing the calculator state ============================ The results from the Vasp calculator can exported as a dictionary, which can then be saved in a JSON format, which enables easy and compressed sharing and storing of the input & outputs of a VASP calculation. The following methods of :py:class:`Vasp` can be used for this purpose: .. automethod:: ase.calculators.vasp.Vasp.asdict .. automethod:: ase.calculators.vasp.Vasp.fromdict .. automethod:: ase.calculators.vasp.Vasp.write_json .. automethod:: ase.calculators.vasp.Vasp.read_json First we can dump the state of the calculation using the :meth:`~ase.calculators.vasp.Vasp.write_json` method: .. code-block:: python # After a calculation calc.write_json('mystate.json') # This is equivalent to from ase.io import jsonio dct = calc.asdict() # Get the calculator in a dictionary format jsonio.write_json('mystate.json', dct) At a later stage, that file can be used to restore a the input and (simple) output parameters of a calculation, without the need to copy around all the VASP specific files, using either the :meth:`ase.io.jsonio.read_json` function or the Vasp :meth:`~ase.calculators.vasp.Vasp.fromdict` method. .. code-block:: python calc = Vasp() calc.read_json('mystate.json') atoms = calc.get_atoms() # Get the atoms object # This is equivalent to from ase.calculators.vasp import Vasp from ase.io import jsonio dct = jsonio.read_json('mystate.json') # Load exported dict object from the JSON file calc = Vasp() calc.fromdict(dct) atoms = calc.get_atoms() # Get the atoms object The dictionary object, which is created from the :py:meth:`todict` method, also contains information about the ASE and VASP version which was used at the time of the calculation, through the :py:const:`ase_version` and :py:const:`vasp_version` keys. .. code-block:: python import json with open('mystate.json', 'r') as f: dct = json.load(f) print('ASE version: {}, VASP version: {}'.format(dct['ase_version'], dct['vasp_version'])) .. note:: The ASE calculator contains no information about the wavefunctions or charge densities, so these are NOT stored in the dictionary or JSON file, and therefore results may vary on a restarted calculation. Vibrational Analysis ==================== Vibrational analysis can be performed using the :class:`~ase.vibrations.Vibrations` class or using the VASP internals (e.g. with ``IBRION=5``). When using IBRION=5-8, the corresponding vibrational analysis can be represented by retrieving a :class:`~ase.vibrations.VibrationsData` object from the calculator using :meth:`ase.calculators.vasp.Vasp.get_vibrations`. From the OUTCAR, the energies of all modes can be retrieved using :meth:`ase.calculators.vasp.Vasp.read_vib_freq`. .. automethod:: ase.calculators.vasp.Vasp.get_vibrations .. automethod:: ase.calculators.vasp.Vasp.read_vib_freq Examples ======== The Vasp 2 calculator now integrates with existing ASE functions, such as :class:`~ase.spectrum.band_structure.BandStructure` or :class:`~ase.dft.bandgap.bandgap`. Band structure with VASP ------------------------ .. _Si band structure: https://www.vasp.at/wiki/index.php/Si_bandstructure The VASP manual has an example of creating a `Si band structure`_ - we can easily reproduce a similar result, by using the ASE Vasp calculator. We can use the ``directory`` keyword to control the folder in which the calculations take place, and keep a more structured folder structure. The following script does the initial calculations, in order to construct the band structure for silicon .. code-block:: python from ase.build import bulk from ase.calculators.vasp import Vasp si = bulk('Si') mydir = 'bandstructure' # Directory where we will do the calculations # Make self-consistent ground state calc = Vasp(kpts=(4, 4, 4), directory=mydir) si.calc = calc si.get_potential_energy() # Run the calculation # Non-SC calculation along band path kpts = {'path': 'WGX', # The BS path 'npoints': 30} # Number of points along the path calc.set(isym=0, # Turn off kpoint symmetry reduction icharg=11, # Non-SC calculation kpts=kpts) # Run the calculation si.get_potential_energy() As this calculation might be longer, depending on your system, it may be more convenient to split the plotting into a separate file, as all of the VASP data is written to files. The plotting can then be achieved by using the ``restart`` keyword, in a second script .. code-block:: python from ase.calculators.vasp import Vasp mydir = 'bandstructure' # Directory where we did the calculations # Load the calculator from the VASP output files calc_load = Vasp(restart=True, directory=mydir) bs = calc_load.band_structure() # ASE Band structure object bs.plot(emin=-13, show=True) # Plot the band structure Which results in the following image .. image:: vasp_si_bandstructure.png We could also find the band gap in the same calculation, >>> from ase.dft.bandgap import bandgap >>> bandgap(calc_load) Gap: 0.474 eV Transition (v -> c): (s=0, k=15, n=3, [0.000, 0.000, 0.000]) -> (s=0, k=27, n=4, [0.429, 0.000, 0.429]) .. note:: When using hybrids, due to the exact-exchange calculations, one needs to treat the k-point sampling more carefully, see `VASP HSE band structure wiki`_. Currently, we have no functions to easily handle this issue, but may be added in the future. .. _VASP HSE band structure wiki: https://vasp.at/wiki/index.php/Si_HSE_bandstructure#Procedure_2:_0-weight_.28Fake.29_SC_procedure_.28works_DFT_.26_hybrid_functionals.29 Density of States ------------------------ The Vasp calculator also allows for quick access to the Density of States (DOS), through the ASE DOS module, see :class:`~ase.dft.dos.DOS`. Quick access to this function, however, can be found by using the ``get_dos()`` function: >>> energies, dos = calc.get_dos()