July 09, 2021 preprint Open access Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations arXiv (Cornell University) DOI: 10.1063/5.0062546 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 126 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 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 Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework 2024 Research Square preprint Physics and Astronomy Model Reduction and Neural Networks Open access 1 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 4 results References 0