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Process-structure-property linkages suggest an opportunity to deduce processing from behavior. Simple imaging experiments provide rich sources of data. Can we deduce prior deformation?
Scheme: Thin film plasticity
Deform to some reference strain
Unload
Deform to test strain, image
Deduce reference strain from test-strain image
Relation to AI
This is an image classification problem
Lots of good tools for doing AI/ML with images
Next step is regression
Deduce arbitrary prior strain, not just which “bucket”
Include uncertainties
Fundamental idea
Microstructure encodes history.
Response to loads is accessible at high resolution and relevant to mechanics.
Machine learning on images is mature, therefore we can build an ML scheme which ingests image data from mechanical tests, and which infers sample deformation history.