model discovery, symbolic regression, constitutive modeling, hyperelasticity, polyconvexity
mechanical metamaterials, Machine learning, kirigami-inspired design, stepwise mapping strategy, mechanical prediction
fibrin fiber, Deformation mechanism, protofibrils, molecular dynamics, bilinear behavior
thrombus mechanics, data-driven simulation, mechanical thrombectomy, thrombolysis, fibrin network, fracture mechanics, multiscale modelling, artificial intelligence, machine learning
Brain tissue mechanical characterization, Invasive testing, Noninvasive elastography, Human brain tissue mechanical properties
cortical folding pattern, heterogeneous growth, regional growth model, symbolic regression, computational modeling
kirigami-inspired design, active composites, Machine Learning, morphological configuration, mechanical prediction
thrombosis, fibrin fiber network, crack propagation mechanism, coarse-grained molecular dynamics, fracture toughness
human brain cortex, constitutive modeling, constitutive artificial neural networks, multiple regression, Brain mechanics
computer modeling, fiber network, tortuosity, pore size, probability distribution function