Scientific networking

ICI is involved in several scientific networks with the aim of developing High Performance Computing and its applicability in various fields of research and industrial use.

NaonedIA, Nantes cluster on Artificial Intelligence (AI) for all

Naonedia is a cluster that brings togther all the stakeholders on Artificial Intelligence (AI) in Nantes Metropole that share a common ambition to develop an AI which is ethical, responsible and accessible for all.
With more than 50 participants, the strength of NaonedIA lies in the fertile crosslinking between the participants’ competences: AI researchers in different fields such as maths, informatics, health, law, sociology etc.; company software developers; independent consultants; startupers; curious users; AI infrastructure etc.

GLiCID

The GLiCID - Groupe Ligérien en Calcul Intensif Distribué, Loire's Group in Distributed Intensive Computing -  Scientific Group of Interest (GIS) links the University of Nantes (UN) and the Ecole Centrale de Nantes (ECN). Its objectives are:

  • the implementation of an interconnection between the ECN supercomputer, through the Nantes Supercomputing Plant ICI-CNSC, and the resources of the UN computing platform, through the Centre de Calcul Intensif des Pays de la Loire CCIPL;
  • the management of the allocation of shared computing resources;
  • the creation of a regional centre with broadened skills in training and research.

These two regional class mesocentres (Tier2) extend throughout the Pays de la Loire region to bring together technical and scientific expertise and high-performance computing resources. In terms of outreach, this structure contributes to the scientific production of researchers, stimulates international collaborations, and attracts internationally recognized scientific personalities.

The GIS allows:

  • to coordinate, promote and label research projects in collaboration between partners at regional, national, European and international level;
  • to set up actions to increase the visibility and attractiveness of the regional research cluster;
  • to strengthen regional attractiveness in the fields of research and training. 

 

FAME, NExT cluster on Human Factors for Medical Technologies

The FAME cluster sits at the interface between engineering and healthcare, and contributes to both NExT priorities: healthcare of the future, and manufacturing of the future.
This cluster combines both engineering and human sciences in all phases of its research. By definition, human factors engineering (sometimes called engineering psychology) is an interdisciplinary science, combining engineering and psychology in its application. With a focus on medical applications, this cluster is also multi-disciplinary as it brings together human factors engineers, computer scientists, scientists in robotics, automation, human sciences and medical practitioners (specialists, nurses, anaesthesiologists etc.) for a common goal: improve medical training and medical technologies.
The FAME cluster brings together researchers and practitioners willing to work on human factors for medical technologies. Human Factors approaches underpin current patient safety and quality improvement science, offering an integrated, evidenced and coherent approach to patient safety, quality improvement and clinical excellence.

MECAFIB , GdR CNRS on Multiscale Mechanics of Fibrous Media


The mechanics of natural or synthetic fibrous media is currently undergoing an important development promoted on, the one hand, by new experimental and numerical means and, on the other hand, by the growing needs for characterization and modeling on the application side. In this context, the goal of the CNRS "GDR" Multiscale Mechanics of Fibrous Media - MECAFIB - is to bring together French academic and industrial research teams working in this area to reinforce their interactions and to allow scientific issues related to these particular media to be tackled. More precisely, the GDR MECAFIB focuses on the mechanics of flexible fibrous media, characterized by significant relative displacements between fibers, strong non-linearities related both to their contacts and the rheology of their constituents (fibers, fiber bundles, soft matrix). The main objective of the GDR MECAFIB is to develop and/or use tools of experimental, theoretical and numerical mechanics for characterizing and modeling both the architecture and the mechanics of fibrous media.

MIC, GdR CNRS on Material Forming of Composites

The main objective of the GdR CNRS 3671 - MIC (Implementation of composites and induced properties) is to bring together national, academic and industrial stakeholders involved in composite processes and, in particular, the process / properties link. Experimental approaches, including characterization, modelling and simulation approaches at different scales are discussed in order to identify scientific and technological obstacles and implement strategies to overcome them.  The GdR is organised around six themes / workshops:

  • Drainage (C. Binétruy, J. Bréard)
  • Biocomposites (C. Baley, M. Gomina)
  • Thermo-mechanical, thermokinetic couplings (S. Drapier, F. Jacquemin)
  • Suspensions (J. Férec, E. Abisset-Chavanne)
  • Composite repair (F. Collombet)
  • Reinforcement shaping (D. Soulat, P. Boisse)

Published on June 26, 2018 Updated on November 8, 2018