Category:Calculation setup: Difference between revisions

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After the [[:Category:Installation|installation]], VASP can be executed in a directory. In this directory, VASP looks for [[:Category:Input files|input files]] such as the {{FILE|INCAR}} file, the {{FILE|POTCAR}} file, the {{FILE|POSCAR}} file, and {{FILE|KPOINTS}} file. The central way to control the calculation is by setting [[:Category:INCAR tag|INCAR tags]]. However, depending on the VASP calculation, there are other [[:Category:Input files|input files]] to provide settings for the calculation, e.g., the {{FILE|ICONST}} file.  
The '''Vienna ab-initio simulation package''' (VASP) is a computer program for atomic scale materials modeling from first principles. To get a license, please refer to the [https://www.vasp.at/sign_in/registration_form/ registration form on the VASP website]. You will get access to the VASP source and [[:Category:Installation|compile it]] directly on your hardware to achieve optimal [[performance]].  


Finally, VASP will write [[:Category:Output files|output files]] to the same directory.  
After the [[:Category:Installation|installation]], VASP can be executed from the command line of a Terminal. Navigate to a working directory. In the working directory, VASP looks for [[input files]] that determine what calculation is performed. The most important input files are
{{NB|tip|For postprocessing, {{py4vasp}} is a convenient python package to read and visualize the produced data.}}
* the {{FILE|POSCAR}} file: Defines the structure of the material, i.e., lattice vectors, ionic positions, etc.
* the {{FILE|INCAR}} file: General selection of the algorithm, setting parameters, etc.
* the {{FILE|POTCAR}} file: Contains the [[pseudopotentials]] and other information relevant for the [[PAW method]]
* the {{FILE|KPOINTS}} file: Defines the Bloch vectors '''k''' in reciprocal space.


The central way to control the calculation is by setting [[:Category:INCAR tag|INCAR tags]] in the {{FILE|INCAR}} file. Depending on the VASP calculation, there are other [[input files]] to provide settings for the calculation, e.g., the {{FILE|ICONST}} file.
{{NB|tip|To learn how to set up a calculation, we recommend following some of our [https://www.vasp.at/tutorials/latest/ tutorials].}}
Finally, VASP will write [[:Category:Output files|output files]] to the working directory.
{{NB|tip|For postprocessing, {{py4vasp}} is a convenient Python package to read and visualize the produced data.}}
This category contains all pages and topics relevant to the '''computational setup'''. For instance, [[installation]], [[files]], [[performance]], etc.


[[Category:VASP|Calculation setup]]
[[Category:VASP|Calculation setup]]

Latest revision as of 13:04, 12 June 2024

The Vienna ab-initio simulation package (VASP) is a computer program for atomic scale materials modeling from first principles. To get a license, please refer to the registration form on the VASP website. You will get access to the VASP source and compile it directly on your hardware to achieve optimal performance.

After the installation, VASP can be executed from the command line of a Terminal. Navigate to a working directory. In the working directory, VASP looks for input files that determine what calculation is performed. The most important input files are

  • the POSCAR file: Defines the structure of the material, i.e., lattice vectors, ionic positions, etc.
  • the INCAR file: General selection of the algorithm, setting parameters, etc.
  • the POTCAR file: Contains the pseudopotentials and other information relevant for the PAW method
  • the KPOINTS file: Defines the Bloch vectors k in reciprocal space.

The central way to control the calculation is by setting INCAR tags in the INCAR file. Depending on the VASP calculation, there are other input files to provide settings for the calculation, e.g., the ICONST file.

Tip: To learn how to set up a calculation, we recommend following some of our tutorials.

Finally, VASP will write output files to the working directory.

Tip: For postprocessing, py4vasp is a convenient Python package to read and visualize the produced data.

This category contains all pages and topics relevant to the computational setup. For instance, installation, files, performance, etc.

Subcategories

This category has the following 9 subcategories, out of 9 total.

Pages in category "Calculation setup"

The following 3 pages are in this category, out of 3 total.