A PVW-based framework predicts viscoelastic crack delay times and crack evolution under arbitrary loads while introducing a path-independent J-integral that yields a generalized Griffith criterion for delayed fracture.
Materials Science and Engineering: A 590, 66–73
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A modular two-stage selective rescanning framework for SEM achieves 99% detection of damage features in DP800 steel at 58% of conventional acquisition time.
MSI is a multimodal representation learning framework that identifies key microstructural features governing mechanical behavior in structural alloys from spatial observations.
Autoencoders plus PCA compress microstructural images from phase-field simulations by a factor of 196 while retaining over 80 percent accuracy, and LSTM networks then predict subsequent frames to speed up the simulations.
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