Details for AiiDA plugin "aiida-tbextraction"
< Go back to the aiida-registry plugin summary
General information
Current state:
Documentation: Go to plugin documentation
Detailed information
Author(s): Dominik Gresch
Short description: AiiDA Plugin for extracting tight-binding models
Package name (for pip): aiida-tbextraction
How to use from python: import aiida_tbextraction
Most recent version:
Summary of the entrypoints
This plugin contains:Workflows 14
Available entrypoints
Workflows and WorkChains (aiida.workflows)
tbextraction.fp_run.base
class aiida_tbextraction.fp_run:FirstPrinciplesRunBasetbextraction.fp_run.split
class aiida_tbextraction.fp_run:SplitFirstPrinciplesRuntbextraction.fp_run.vasp
class aiida_tbextraction.fp_run:VaspFirstPrinciplesRuntbextraction.fp_run.reference_bands.base
class aiida_tbextraction.fp_run.reference_bands:ReferenceBandsBasetbextraction.fp_run.reference_bands.vasp
class aiida_tbextraction.fp_run.reference_bands:VaspReferenceBandstbextraction.fp_run.wannier_input.base
class aiida_tbextraction.fp_run.wannier_input:WannierInputBasetbextraction.fp_run.wannier_input.vasp
class aiida_tbextraction.fp_run.wannier_input:VaspWannierInputtbextraction.calculate_tb
class aiida_tbextraction.calculate_tb:TightBindingCalculationtbextraction.model_evaluation.base
class aiida_tbextraction.model_evaluation:ModelEvaluationBasetbextraction.model_evaluation.band_difference
class aiida_tbextraction.model_evaluation:BandDifferenceModelEvaluationtbextraction.energy_windows.run_window
class aiida_tbextraction.energy_windows.run_window:RunWindowtbextraction.energy_windows.window_search
class aiida_tbextraction.energy_windows.window_search:WindowSearchtbextraction.optimize_fp_tb
class aiida_tbextraction.optimize_fp_tb:OptimizeFirstPrinciplesTightBindingtbextraction.optimize_strained_fp_tb
class aiida_tbextraction.optimize_strained_fp_tb:OptimizeStrainedFirstPrinciplesTightBinding