October 22, 2021 article Unsteady aerodynamic reduced-order modeling based on machine learning across multiple airfoils Aerospace Science and Technology DOI: 10.1016/j.ast.2021.107173 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 64 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 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 1 result References 0