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Scalable dynamical inference of phase-field fracture from sparse and partial measurements
CNN2D--ConvGRU is developed, a convolutional-recurrent framework for measurement-conditioned reconstruction of time-dependent phase-field brittle fracture, demonstrating efficient full-field fracture-state reconstruction from sparse observations while retaining the spatial structure and history dependence of phase-fiel...