January 01, 2019 conference-paper Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction Lecture notes in computer science DOI: 10.1007/978-3-030-34356-9_41 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 22 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 Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data 2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access 31 citations AI Super-Resolution: Application to Turbulence and Combustion 2023 Lecture notes in energy book-chapter Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Large-Eddy Simulations of ECN Spray C 2022 SAE International Journal of Advances and Current Practices in Mobility article Chemical Engineering Advanced Combustion Engine Technologies Open access 8 citations Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows 2021 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks 1 citations 4 results References 0