March 16, 2014 article Interpolation-based reduced-order modelling for steady transonic flows via manifold learning International journal of computational fluid dynamics DOI: 10.1080/10618562.2014.918695 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 119 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 A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics: proof of concept and parameter study 2025 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations Modeling Unsteady Flows for Aeroelasticity Through Machine Learning and Data-Driven Methods 2024 AIAA SciTech Forum conference-paper Physics and Astronomy Model Reduction and Neural Networks cited by 1 patent 0 citations 2 results References 0