Letture consigliate

Gilbert Strang, Linear Algebra and learning form data, Wellesley-Cambridge Press 2019. Tamara Grossmann et al.: Can physics-informed neural networks beat the finite element method? IMA Journal Applied Mathematics (2024) 89, 143-174. Kaushik Bhattacharya et al.: Learning homogenization for elliptic operators, SIAM Journal on Numerical Analysis 62 (4), 1844-1873. P. Carrara et al.; Data-driven fracture mechanics. Computer Methods in Applied Mechanics and Engineering 372, 113390 (2020). J. Ulloa et al.: Data-driven micromorphic mechanics for materials with strain localization. arXiv preprint arXiv:2402.15966. A. Leygue et al.: Data-based derivation of material response. Comput. Methods Appl. Mech. Engrg., 331, pp. 184-196 (2018). A. Leygue et al.: Non-parametric material state field extraction from full field measurements. Computational Mechanics 64:501-509 (2019). L. Stainier et al.: Model-free data-driven methods in mechanics: material data identification and solvers. Computational Mechanics 64:381-393 (2019).