The VASP Manual: Difference between revisions

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|style="background: #F3FCFB; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[:Category:Ensemble properties| Ensemble properties]]||style="background: white; padding:5px; border-style: solid; border-width: 15px; border-color: white"| Monitoring geometric parameters, pair-correlation function, thermal conductivity, diffusion, etc.
|style="background: #F3FCFB; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[:Category:Ensemble properties| Ensemble properties]]||style="background: white; padding:5px; border-style: solid; border-width: 15px; border-color: white"| Monitoring geometric parameters, pair-correlation function, thermal conductivity, diffusion, etc.
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|style="background: #F3FCFB; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[:Category:Advanced molecular-dynamics sampling| Advanced molecular-dynamics sampling]] ||style="background: white; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[:Category:Interface pinning|Interface pinning]], constrained molecular dynamics, metadynamics, thermodynamic integration, etc.
|style="background: #F3FCFB; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[:Category:Advanced molecular-dynamics sampling| Advanced molecular-dynamics sampling]] ||style="background: white; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[Interface pinning]], [[constrained molecular dynamics]], [[metadynamics]], [[thermodynamic integration]], etc.
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|style="background: #F3FCFB; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[:Category:Machine-learned force fields| Machine-learned force fields]]||style="background: white; padding:5px; border-style: solid; border-width: 15px; border-color: white"| Training and application of force fields.   
|style="background: #F3FCFB; padding:5px; border-style: solid; border-width: 15px; border-color: white"| [[:Category:Machine-learned force fields| Machine-learned force fields]]||style="background: white; padding:5px; border-style: solid; border-width: 15px; border-color: white"| Training and application of force fields.   

Revision as of 13:53, 17 October 2024

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Featured topics

Category subtopics (amongst others)
Theoretical background Pseudopotentials, PAW formalism, phonons, machine learning force fields, hybrid functionals, GW approximation, etc.
Calculation setup Installation, input files, pseudopotentials, output files, INCAR tags, How to's, etc.
Electronic minimization Self-consistency cycle, blocked-Davidson algorithm, RMM-DIIS, direct optimization of the orbitals, preconditioning, density mixing, etc.
Electronic ground-state properties Band structure, density of states, partial DOS and on-site charge and magnetization (LORBIT), electrostatics, charge density, potential, etc.
Spin degree of freedom Spin-orbit coupling, noncollinear magnetism, spin spirals, constrained magnetism, etc.
Exchange-correlation functionals LDA, GGA, meta-GGA, DFT+U, hybrid functionals, van der Waals functionals.
Symmetry and structure Crystal symmetry, reciprocal space, surfaces, pair-correlation function for liquids, etc.
Ionic mimimization Structure optimization, ionic-mimimization methods, forces, transition states, etc.
Molecular dynamics Barostats, thermostats, ensembles, etc.
Ensemble properties Monitoring geometric parameters, pair-correlation function, thermal conductivity, diffusion, etc.
Advanced molecular-dynamics sampling Interface pinning, constrained molecular dynamics, metadynamics, thermodynamic integration, etc.
Machine-learned force fields Training and application of force fields.
Phonons Lattice vibrations, electron-phonon interactions.
Response theory Static and frequency-dependent dielectric properties, Berry phases, spectroscopy (UV, VIS, X-ray), phonons, etc.
Many-body perturbation theory ACFDT, BSE, GW, MP2, CRPA.
Localized basis and projection Obtaining Wannier functions, SCDM, partial DOS and on-site charge and magnetization (LORBIT), Constrained-random-phase approximation
Performance Parallelization, memory management, profiling, etc.

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