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Scientific challenges at CERFACS

Research at CERFACS is performed on 9 cross-functional axes, from high performance computing and advanced algorithms (numerical methods, code coupling, data assimilation, uncertainties) to expanding themes such as climate, environment , combustion, aeronautics.

Its application fields deal with scientific challenges structuring several decadal projects. These challenges meet the cross-functionnal CERFACS research areas conducted  by one or several teams.

  • The Cougar and Puma challenges respectively aim at the simulation of the unsteady functioning of a complete engine of gas turbine and of a whole aircraft in realistic flight conditions.
  • The Declipp challenge deals with decadal prediction and climate variability using climate modeling and a coupled ocean-atmosphere model.
  • The Decola challenge is about simulating unsteady combustion of rocket engines in realistic “supercritical” named conditions.
  • The Modest challenge gathers specialized modeling activities about environment and security. This in order to better characterize natural and industrial risks in terms of monitoring, scenarios and real-time tracking.

More challenges may be created in consultation with the CERFACS shareholders.

NEWS

Catherine Lambert, new member of National Academy of Technologies of France

nasri |  8 March 2019

Each year, the Academy recruits new  members in order to enlarge  or enhance its scope of reflection and action, this being carried out within a rigorous recruitment process which focuses on people's excellence and on the visibility of their works in Europe and...

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The Combustion Institute Selection Committee has selected Dr Laurent GICQUEL to receive the honorific title of Fellow of the Combustion Institute in 2018

superadmin |  5 March 2019

The Combustion Institute Selection Committee has selected Dr Laurent GICQUEL to receive the honorific title of Fellow of the Combustion Institute in 2018 for outstanding research in LES of turbulent reacting flow and thermo-acoustic instability prediction of real engines. Fellows of The...Read more

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