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Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review., , и . CoRR, (2023)A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods., , , , , и . CoRR, (2022)On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations., , , , , и . CoRR, (2022)Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network., , , , , , и . CoRR, (2021)A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes., , , , , и . CoRR, (2023)Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging., , и . CoRR, (2020)Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators., , , , , и . CoRR, (2023)Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems., , , и . CoRR, (2022)G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning., , , и . PLoS Comput. Biol., 18 (10): 1010660 (октября 2022)