December 27, 2024 article Open access RF-PINNs: Reactive flow physics-informed neural networks for field reconstruction of laminar and turbulent flames using sparse data Journal of Computational Physics DOI: 10.1016/j.jcp.2024.113698 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 31 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 Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs 2022 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent 60 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