Skip to content

An AI to predict critical events (cracks, fatigue) in a strained polycrystal from high-energy x-ray diffraction microscopy (HEDM) data, trained on simulated diffraction from crystal plasticity finite element (CPFE) simulations.

License

Notifications You must be signed in to change notification settings

siddharth-maddali/AI-HEDM-CPFE

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

AI-HEDM-CPFE

A deep learning -based system to predict critical events (cracks, fatigue) in a strained polycrystal from synchrotron-based high-energy x-ray diffraction microscopy (HEDM) data. The deep net is trained on simulated x-ray diffraction from synthetic polycrystalline samples that are evolved with a crystal plasticity finite element (CPFE) model. The CPFE model was developed at Purdue University's Advanced Computational Materials lab. The diffraction is simulated with the MIDAS software suite developed at the Advanced Photon Source.

Tutorials

About

An AI to predict critical events (cracks, fatigue) in a strained polycrystal from high-energy x-ray diffraction microscopy (HEDM) data, trained on simulated diffraction from crystal plasticity finite element (CPFE) simulations.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published