Francisco Chinesta

Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models

Francisco Chinesta, Amine Ammar, Elías Cueto · Archives of Computational Methods in Engineering · 2010 · 357 citations · Full text

Numerical Analysis, Mathematical Programming, Recent Advances +10

Data-driven modeling and learning in science and engineering

Francisco J. Montáns, Francisco Chinesta, Rafael Gómez‐Bombarelli et al. · Comptes Rendus Mécanique · 2019 · 274 citations · Full text

Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

Francisco Chinesta, Elías Cueto, Emmanuelle Abisset‐Chavanne et al. · Archives of Computational Methods in Engineering · 2018 · 262 citations · Full text

Engineering, Virtual Engineering, Data Science +15

A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

Rubén Ibáñez, Emmanuelle Abisset‐Chavanne, José Vicente Aguado et al. · Archives of Computational Methods in Engineering · 2016 · 217 citations

Geometric Learning, Engineering, Machine Learning +8

Data-driven non-linear elasticity: constitutive manifold construction and problem discretization

Rubén Ibáñez, Domenico Borzacchiello, José Vicente Aguado et al. · Computational Mechanics · 2017 · 136 citations · Full text

Numerical Analysis, Nonlinear Elasticity, Engineering +5