☆ 4.7 Article

Data -driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)

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Journal

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume 365, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2020.113000

Keywords

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Categories

Engineering, Multidisciplinary Mathematics, Interdisciplinary Applications Mechanics

Funding

  1. China Scholarship Council [201806270238]
  2. EPSRC (MAGIC) [EP/N010221/1]
  3. Royal Society in the UK [IEC/NSFC/170563]
  4. EPSRC (INHALE) [EP/T003189/1]
  5. EPSRC (MUFFINS) [EP/P033148/1]
  6. EPSRC (PREMIERE) [EP/T000414/1]
  7. EPSRC [EP/N010221/1, EP/P033148/1, EP/T003189/1, EP/T000414/1] Funding Source: UKRI

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