project . 2019 - 2020 . Closed

dataFlow

dataFlow: A Data-driven Fluid Flow Solving Platform
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 838342 Call for proposal: ERC-2018-PoC
  • Funded under: H2020 | ERC | ERC-POC Overall Budget: 149,500 EURFunder Contribution: 149,500 EUR
  • Status: Closed
  • Start Date
    01 Jun 2019
    End Date
    30 Nov 2020
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
With the recent breakthrough of deep learning methods, we currenty see the advent of employing this methodology in the context of physical simulations. Such simulations are widely used in numerous industrial fields, starting from car and airplane manufacturers, over computer graphics and animations to medical blood flow simulations. The market for computer simulations is currently exceeding 15 billion USD world wide, with rising trends, and 3 billion spent in Europe alone. A significant fraction of these simulations focuses purely on solving various forms of the Navier-Stokes equations. While right now virtually all of these simulations use traditional solvers, ...
Partners
Description
With the recent breakthrough of deep learning methods, we currenty see the advent of employing this methodology in the context of physical simulations. Such simulations are widely used in numerous industrial fields, starting from car and airplane manufacturers, over computer graphics and animations to medical blood flow simulations. The market for computer simulations is currently exceeding 15 billion USD world wide, with rising trends, and 3 billion spent in Europe alone. A significant fraction of these simulations focuses purely on solving various forms of the Navier-Stokes equations. While right now virtually all of these simulations use traditional solvers, ...
Partners
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