January 01, 2025 article Open access Scientific machine learning in combustion for discovery, simulation, and control Proceedings of the Combustion Institute DOI: 10.1016/j.proci.2025.105796 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 12 References 3 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 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 A machine learning method to predict rate constants for various reactions in combustion kinetic models 2024 Combustion and Flame article Chemical Engineering Advanced Combustion Engine Technologies 31 citations 3 results