November 10, 2015 article Open access A paradigm for data-driven predictive modeling using field inversion and machine learning Journal of Computational Physics DOI: 10.1016/j.jcp.2015.11.012 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 631 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 A Data-Driven Method for the Derivation of Explicit Algebraic Reynolds Stress Models Applied to the Wake Losses of Low-Pressure Turbine Cascades 2024 Journal of Turbomachinery article Engineering Turbomachinery Performance and Optimization 0 citations Machine-learning-augmented domain decomposition method for near-wall turbulence modeling 2024 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks 12 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 Engineering Combustion and flame dynamics Open access 8 citations Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows 2021 Proceedings of the Combustion Institute article Engineering Fluid Dynamics and Turbulent Flows Open access 150 citations 4 results References 0