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Updated: Dec 25, 2025

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Published on: September 17, 2021
ABINIT: Overview and focus on selected capabilities
Aldo H Romero1, Douglas C Allan2, Bernard Amadon3
1Physics and Astronomy Department, West Virginia University, Morgantown, West Virginia 26506-6315, USA.
The abinit software package offers advanced electronic structure calculations, including density functional theory and many-body perturbation theory. It provides unique capabilities for studying materials under electric fields and strongly correlated systems.
Area of Science:
- Computational Materials Science
- Condensed Matter Physics
- Quantum Chemistry
Background:
- abinit is a pioneering open-source electronic structure package with a 20-year history.
- It implements a wide range of theoretical formalisms, including Density Functional Theory (DFT) and Many-Body Perturbation Theory (MBPT).
Purpose of the Study:
- To provide a comprehensive overview of the abinit software package and its capabilities.
- To highlight advanced and unique features of abinit, particularly in the context of materials science research.
Main Methods:
- Utilizes planewave basis sets with pseudopotentials or Projector-Augmented Waves (PAWs).
- Implements Density Functional Theory (DFT), Density-Functional Perturbation Theory (DFPT), GW approximation, Bethe-Salpeter equation, and Dynamical Mean-Field Theory (DMFT).
- Employs the supercell technique for nanostructures and molecules.
Main Results:
- abinit supports advanced calculations for periodic materials, nanostructures, and molecules.
- Focuses on unique capabilities such as DMFT for strongly correlated materials, response to electric fields, nuclear properties, positron annihilation, and Raman intensities.
- Detailed DFPT calculations cover elastic constants, piezoelectricity, flexoelectricity, electronic mobility, and spin-magnetic-field perturbations.
Conclusions:
- abinit offers a versatile and powerful platform for advanced materials simulations.
- Its extensive capabilities, including DFPT and DMFT, facilitate in-depth studies of complex material properties.
- Community-driven projects enhance its utility through datasets and libraries like libpaw.
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