March 16, 2017 article Open access Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data Physical Review Fluids DOI: 10.1103/physrevfluids.2.034603 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 633 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 Engineering Computational Fluid Dynamics and Aerodynamics 12 citations Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 2024 Energy and Buildings article Engineering Building Energy and Comfort Optimization Open access 20 citations 3 results References 0