aenet_env
Installation and environment
v0.0.3 workflow scripts
ANN training parameters and physical meaning
DFT reference structures from RMC configurations
aenet_env
API reference
aenet_env
Index
Index
A
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C
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D
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F
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I
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L
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M
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P
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S
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T
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V
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W
A
aenet_env
module
aenet_env.aenet_backend
module
aenet_env.install
module
aenet_env.references
module
aenet_env.structures
module
aenet_env.training
module
aenet_env.xyz
module
C
collect_reference_xsf() (in module aenet_env.references)
convert_xyz_tree() (in module aenet_env.xyz)
D
discover_cases() (in module aenet_env.structures)
discover_flat_cases() (in module aenet_env.structures)
F
find_installed_scripts() (in module aenet_env.install)
I
install_scripts() (in module aenet_env.install)
L
load_or_discover_cases() (in module aenet_env.structures)
M
main() (in module aenet_env.install)
module
aenet_env
aenet_env.aenet_backend
aenet_env.install
aenet_env.references
aenet_env.structures
aenet_env.training
aenet_env.xyz
P
parse_xyz() (in module aenet_env.xyz)
prepare_aenet_inputs() (in module aenet_env.aenet_backend)
prepare_fortran_dataset() (in module aenet_env.training)
S
stage_cases() (in module aenet_env.structures)
T
train_aenet() (in module aenet_env.aenet_backend)
train_aenet_python_torch() (in module aenet_env.training)
train_fortran_api() (in module aenet_env.training)
train_fortran_legacy() (in module aenet_env.training)
train_separate_aenet_pytorch() (in module aenet_env.training)
V
vasprun_to_xsf() (in module aenet_env.references)
W
write_poscar() (in module aenet_env.xyz)