Prediction of aerodynamic flow fields using convolutional neural networks

Article Properties
Journal Categories
Science
Mathematics
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Mechanics of engineering
Applied mechanics
Technology
Mechanical engineering and machinery
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Refrences
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 Annual Review of Fluid Mechanics
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 677 2019
Floating scale surface reconstruction

 ACM Transactions on Graphics
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 66 2014
Computational Investigation of Microscale Coaxial-Rotor Aerodynamics in Hover Journal of Aircraft
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 37 2010
Learning Deep Architectures for AI Foundations and Trends® in Machine Learning
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10.1109/TPAMI.2007.41 IEEE Transactions on Pattern Analysis and Machine Intelligence
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2007
Citations
Title Journal Journal Categories Citations Publication Date
Deep learning in computational mechanics: a review

 Computational Mechanics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
 2024
Sag-flownet: self-attention generative network for airfoil flow field prediction Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Optical wave propagation phase for mKdV spherical electric flux density in sphere space

 Optical and Quantum Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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  • Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
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 2024
Relative Assessment of Selected Machine Learning Techniques for Predicting Aerodynamic Coefficients of Airfoil Iranian Journal of Science and Technology, Transactions of Mechanical Engineering
  • Technology: Mechanical engineering and machinery
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 2024
Strategies and applications for predicting flow using neural networks: a review JMST Advances 2024
Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)104
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics85
Science: Physics77
Technology: Mechanical engineering and machinery70
Science: Mathematics: Instruments and machines: Electronic computers. Computer science65
Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases52
Science: Mathematics32
Science22
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics20
Technology: Motor vehicles. Aeronautics. Astronautics20
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks17
Technology: Environmental technology. Sanitary engineering16
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade16
Science: Physics: Heat: Thermodynamics15
Technology: Technology (General): Industrial engineering. Management engineering11
Science: Biology (General)9
Science: Chemistry9
Technology: Chemical technology9
Science: Science (General)8
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials8
Science: Science (General): Cybernetics: Information theory7
Science: Geology6
Science: Chemistry: General. Including alchemy6
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software6
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware6
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods5
Technology: Chemical technology: Chemical engineering5
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication4
Technology: Mechanical engineering and machinery: Renewable energy sources4
Medicine4
Technology4
Science: Physics: Acoustics. Sound4
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)3
Geography. Anthropology. Recreation: Environmental sciences3
Science: Biology (General): Ecology3
Technology: Engineering (General). Civil engineering (General): Environmental engineering3
Technology: Electrical engineering. Electronics. Nuclear engineering3
Technology: Technology (General): Industrial engineering. Management engineering: Information technology3
Technology: Manufactures3
Science: Physics: Optics. Light3
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics3
Technology: Photography2
Naval Science2
Technology: Ocean engineering2
Geography. Anthropology. Recreation: Oceanography2
Technology: Manufactures: Production management. Operations management2
Science: Physics: Meteorology. Climatology2
Science: Geology: Petrology2
Science: Geology: Mineralogy2
Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products2
Geography. Anthropology. Recreation: Geography (General)1
Science: Chemistry: Analytical chemistry1
Science: Mathematics: Instruments and machines1
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations1
Technology: Electrical engineering. Electronics. Nuclear engineering: Nuclear engineering. Atomic power1
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry1
Science: Physiology1
Science: Chemistry: Organic chemistry: Biochemistry1
Science: Physics: Descriptive and experimental mechanics1
Medicine: Medicine (General): Medical technology1
Technology: Engineering (General). Civil engineering (General): Transportation engineering1
Science: Science (General): Cybernetics1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Language and Literature1
The category Technology: Engineering (General). Civil engineering (General) 104 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Deep Learning Framework for Design and Analysis of Surgical Bioprosthetic Heart Valves and was published in 2019. The most recent citation comes from a 2024 study titled LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. This article reached its peak citation in 2023, with 78 citations. It has been cited in 115 different journals, 20% of which are open access. Among related journals, the Physics of Fluids cited this research the most, with 35 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year