October 14, 2004 article An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations Comptes Rendus Mathématique DOI: 10.1016/j.crma.2004.08.006 OpenAlex Authors 0 Author list not loaded yet. Cited by 20 stored of 1,550 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Parameterized crack modelling based on a localized non-intrusive reduced basis method 2026 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Adaptive hyper-reduction of non-sparse operators: Application to parametric particle-based kinetic plasma models 2025 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access 1 citations Reduced basis model predictive control for semilinear parabolic partial differential equations 2025 Optimization methods & software article Engineering Advanced Control Systems Optimization Open access 0 citations Data-driven reduced order surrogate modeling for coronary in-stent restenosis 2024 Computer Methods and Programs in Biomedicine article Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations Solving large numerical substructures in real‐time hybrid simulations using proper orthogonal decomposition 2024 Earthquake Engineering & Structural Dynamics article Physics and Astronomy Model Reduction and Neural Networks 2 citations Data-Driven Reduced Order Surrogate Modeling for Coronary In-Stent Restenosis 2024 SSRN Electronic Journal preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations 2023 Geoscientific model development article Physics and Astronomy Model Reduction and Neural Networks Open access 39 citations A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models 2023 Journal of Computational Physics article Decision Sciences Optimal Experimental Design Methods Open access 7 citations Reply on RC2 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations A reduced basis ensemble Kalman method 2023 GEM - International Journal on Geomathematics article Physics and Astronomy Model Reduction and Neural Networks Open access 9 citations Comment on gmd-2022-309 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on CEC1 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reply on AC2 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Reduced order model predictive control for parametrized parabolic partial differential equations 2023 Applied Mathematics and Computation article Engineering Advanced Control Systems Optimization 8 citations Reply on RC1 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Comment on gmd-2022-309 2023 peer-review Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Perspectives of Physics-Based Machine Learning for Geoscientific Applications Governed by Partial Differential Equations 2023 preprint Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Global sensitivity analysis to optimize basin-scale conductive model calibration – A case study from the Upper Rhine Graben 2021 Geothermics article Energy Geothermal Energy Systems and Applications Open access 21 citations A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models 2021 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 13 citations Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems 2020 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access 15 citations 20 results References 0