February 01, 2019 article Open access Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks Journal of Computational Physics DOI: 10.1016/j.jcp.2019.01.021 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 135 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 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 1 result References 0