September 15, 2026 article Open access Comparison of generative learning methods as turbulence surrogates Computational Science and Engineering DOI: 10.1007/s44207-026-00017-8 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 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 Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows 2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access 150 citations Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows 2022 Proceedings of the Combustion Institute article Engineering Combustion and flame dynamics Open access 40 citations 2 results