High-Performance Computing and Artificial Intelligence in the service of knowledge

In charge of providing high-performance computing and massive data processing resources, GENCI's mission at national and European level is to promote the use of high-performance computing combined with artificial intelligence and quantum technologies for the benefit of academic and industrial communities within the framework of open research.

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  • 9558

    scientific projects

  • 130

    petaflops

  • 2,4

    billion computing hours

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The research team led by Fabio Sterpone, CNRS senior scientist at LBT (Laboratoire de Biochimie Théorique, Institut de Biologie Physico-Chimique), employed a novel computational approach to simulate the first detailed model of a biological nanoreactor using the MUPHY Multiphysics code coupling microscopic Molecular Dynamics (MD) with a hydro-kinetic Lattice Boltzmann (LB) method. ...

The research team led by Fabio Sterpone, a CNRS researcher at LBT (Laboratoire de Biochimie Théorique, Institut de Biologie Physico-Chimique), has used a new computational approach to simulate the first detailed model of a biological nanoreactor using the MUPHY Multiphysics code coupling microscopic molecular dynamics (MD) with a Lattice Boltzmann (LB) hydrokinetic method.

 

This project has been the subject of several publications.

 

It is featured in the Grands Challenges booklet (pp. 108 - 112) linked ("Find out more").

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