February 01, 2020 article Deep learning methods for super-resolution reconstruction of turbulent flows Physics of Fluids DOI: 10.1063/1.5140772 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 365 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 Influence of adversarial training on super-resolution turbulence reconstruction 2024 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access 26 citations Influence of adversarial training on super-resolution turbulence reconstruction 2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Predictive Data-Driven Model Based on Generative Adversarial Network for Premixed Turbulence-Combustion Regimes 2022 Combustion Science and Technology article Engineering Combustion and flame dynamics Open access 15 citations 3 results References 0