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VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP code
Open accessAbstract
We present the VASPKIT, a command-line program that aims at providing a powerful and user-friendly interface to perform high-throughput analysis of a variety of material properties from the raw data produced by the VASP code. It consists of mainly the pre- and post-processing modules. The former module is designed to prepare and manipulate input files such as the necessary input files generation, symmetry analysis, supercell transformation, k-path generation for a given crystal structure. The latter module is designed to extract and analyze the raw data about elastic mechanics, electronic structure, charge density, electrostatic potential, linear optical coefficients, wave function plots in real space, and etc. This program can run conveniently in either interactive user interface or command line mode. The command-line options allow the user to perform high-throughput calculations together with bash scripts. This article gives an overview of the program structure and presents illustrative examples for some of its usages. The program can run on Linux, MacOS, and Windows platforms. The executable versions of VASPKIT and the related examples, together with the tutorials, are available in its official website vaspkit.com.
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Cites
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Self-Consistent Equations Including Exchange and Correlation Effects
Kohn, W., & Sham, L. J. (1965) · Physical Review · doi:10.1103/physrev.140.a1133 · Cited by 64,135
Matplotlib: a 2D graphics environment
Hunter, J. D. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.55 · Cited by 39,249
Advanced capabilities for materials modelling with Q uantum ESPRESSO
Giannozzi, P., Andreussi, O., Brumme, T., Bunau, O., Buongiorno Nardelli, M., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Cococcioni, M., et al. (2017) · Journal of Physics: Condensed Matter · doi:10.1088/1361-648x/aa8f79 · Cited by 8,361
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
Ong, S. P., Richards, W. D., Jain, A., Hautier, G., Kocher, M., Cholia, S., Gunter, D., Chevrier, V. L., Persson, K. A., & Ceder, G. (2013) · Computational Materials Science · doi:10.1016/j.commatsci.2012.10.028 · Cited by 4,534
Electronic excitations: density-functional versus many-body Green’s-function approaches
Onida, G., Reining, L., & Rubio, A. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.601 · Cited by 4,155
High-throughput electronic band structure calculations: Challenges and tools
Setyawan, W., & Curtarolo, S. (2010) · Computational Materials Science · doi:10.1016/j.commatsci.2010.05.010 · Cited by 1,692
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Metadata
- Authors
- Wang, V., Xu, N., Liu, J.-C., Tang, G., & Geng, W.-T.
- Venue
- Computer Physics Communications
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 267
- Pages
- 108033
- ISSN
- 0010-4655 (ISSN-L)
- OpenAlex
- W3038025793
- Cited by
- 7,856
- References
- 7
- FWCI
- 267.59
- Type
- journal article
- Language
- en
- Open access
- green
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- Wang, V., Xu, N., Liu, J.-C., Tang, G., & Geng, W.-T. (2021). VASPKIT: A user-friendly interface facilitating high-throughput computing and analysis using VASP code. Computer Physics Communications. https://doi.org/10.1016/j.cpc.2021.108033
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