Skip to main content

Computational workflow management for materials science.

Project description

DOI PyPI version

MatFlow

MatFlow is a computational workflow management code for materials science.

See this repository for information regarding a MatFlow installation.

Extensions

MatFlow uses extension packages to interact with arbitrary software. Here is a list of current MatFlow extensions.

Released/in-progress extensions

Software Description Status
DAMASK Düsseldorf Advanced Material Simulation Kit (crystal plasticity) Released
MTEX Matlab toolbox for analyzing and modeling crystallographic textures Released
formable Formability analyses in Python Released
DefDAP A python library for correlating EBSD and HRDIC data. Released
Abaqus Finite element analysis In-progress
Neper Polycrystal generation and meshing Released/In-progress

Example inputs/outputs

Label Attributes Output from tasks Input to tasks
ODF crystal_symmetry
speciment_symmetry
euler_angles
euler_angle_labels
weights
orientation_coordinate_system
get_model_texture
estimate_ODF
sample_texture
microstructure_seeds position
orientations
grid_size
phase_label
generate_microstructure_seeds generate_volume_element
orientations euler_angles
euler_angle_labels
orientation_coordinate_system
sample_texture generate_volume_element
volume_element grid
size
origin
orientations
grain_orientation_idx
grain_phase_label_idx
phase_labels
voxel_grain_idx
voxel_homogenization_idx
generate_volume_element visualise_volume_element
simulate_volume_element_loading
load_case total_time
num_increments
def_grad_aim
def_grad_rate
stress
rotation
generate_load_case simulate_volume_element_loading
volume_element_response ... simulate_volume_element_loading

Specifying default run options

Default run options (i.e. options passed to the scheduler) can be specified in a few ways. Firstly, within the workflow file, run_options specified at the top-level will be used for any tasks that do not have a run_options specified. If a task does have a run_options key specified, the global run_options will not be used at all for that task.

Additionally, you can specify default run options in the MatFlow configuration file (config.yml, by default generated in ~/.matflow) with the options default_run_options and default_sticky_run_options. The "sticky" defaults are merged with any run options specified in the workflow file (with workflow-specified options taking precedence), whereas the "non-sticky" defaults are only used if no run options are supplied for a task. If no run options are supplied for a task, then both the "sticky" and "non-sticky" defaults will be used (with the "non-sticky" defaults taking precedence over the "sticky" defaults). Similar keys exist for task preparation and processing run options: default_preparation_run_options, default_sticky_preparation_run_options and default_processing_run_options, default_sticky_processing_run_options.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

matflow-0.2.14.tar.gz (70.8 kB view details)

Uploaded Source

Built Distribution

matflow-0.2.14-py3-none-any.whl (84.3 kB view details)

Uploaded Python 3

File details

Details for the file matflow-0.2.14.tar.gz.

File metadata

  • Download URL: matflow-0.2.14.tar.gz
  • Upload date:
  • Size: 70.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1.post20200515 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for matflow-0.2.14.tar.gz
Algorithm Hash digest
SHA256 2bd6ae4dc23c8e5b4a196fe10697f17f80903bec6fa94c138775f806ca8ece28
MD5 cacf848b56cc51036fca431acfab5b27
BLAKE2b-256 904eb4b85aaa5fb515a77e9c625cd4dfe778bf4da1e49725080527374da35a43

See more details on using hashes here.

File details

Details for the file matflow-0.2.14-py3-none-any.whl.

File metadata

  • Download URL: matflow-0.2.14-py3-none-any.whl
  • Upload date:
  • Size: 84.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1.post20200515 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2

File hashes

Hashes for matflow-0.2.14-py3-none-any.whl
Algorithm Hash digest
SHA256 f7763947a9dcdae1ea7fa5c9b78f771373f9bb40b71c49cc8b3a5884999dc0d8
MD5 8443e2bf4ef549ef9a50ba71a97f7fd6
BLAKE2b-256 a3b800baa7cfe8648c2b13b1201b88a44a26ccc899d5f55a0369a2664d5507ac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page