March 23, 2021 article Open access DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks Journal of Computational Physics DOI: 10.1016/j.jcp.2021.110296 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 213 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 Tackling multiphysics problems via finite element guided physics-informed operator learning 2026 Results in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations Deep NURBS—admissible physics-informed neural networks 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 5 citations Measurement of an eddy diffusivity for chaotic electroconvection using combined computational and experimental techniques 2024 Physical Review Fluids article Engineering Fluid Dynamics and Turbulent Flows Open access 8 citations 3 results References 0