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LABEX pour la modélisation et la simulation scientifiques en recherche
Le projet Calsimlab se concentre sur des domaines de recherche actuellement très actifs : chimie computationnelle, biologie computationnelle et bioinformatique, visualisation scientifique. Il met en relation et en interaction des scientifiques au cœur et à l'interface de plusieurs disciplines : chim
Microstructural modelling of rapidly solidified droplets and spray formed strip of Al-Cu-Sc – MIMOSA
Solidification of alloys is a complex phenomenon arising in many modern experimental techniques and industrial technologies related to casting and surfaces processing. The variation of different conditions of solidification (such as undercooling or cooling rate) gives a possibility to control the mo
Cold Insterstellar Matter: Modelling- and Experimental-based Study – CIMMES
The CIMMES project will study the evolution of cold cosmic dust within the framework of the current era of dust exploration in the far infrared and submillimeter (FIR/submm) wavelength region. The Herschel and Planck space missions are now furnishing abundant data in the far- infrared (FIR) to mil
Original Measurement of Energy using a Geometrical Approach – OMEGA
Since the discovery of the accelerating expansion of the Universe in 1998, understanding the nature of dark energy, or highlighting a change in the laws of general relativity scale, has become one of the major challenges of modern cosmology. From the observational point of view, it is necessary to h
Mechanics and Complexity
Le Labex a été lancé le 23/09/2011 et l’accord de consortium avec A*MIDEX a été signé le 12/12/2013. Son projet correspond à un programme transversal et pluridisciplinaire croisant les thématiques et les compétences de la Fédération de Recherche Fabri de Peyresc (FR). Pour atteindre ses
Tolérance à la sécheresse et à la chaleur chez les plantes grâce à la conception d'ARN longs non codants assistée par l'IA – DHARP
Rice is one of the most important food crops globally, but its productivity is highly vulnerable to climate change, especially to increasing episodes of drought and extreme heat. These stresses often occur together and have a significant impact on yield and food security. While traditional breeding
Physical and Intrinsic Security of Embedded Neural Networks – PICTURE
Today, a major challenge in Machine Learning (ML) is edge-deployed models and more particularly neural networks in a large variety of embedded platforms with high interests shown on porting deep neural networks (DNN) for inference purpose. Many reasons explain the direct use of neural networks on ed
Knowledge transfer strategies, networking and public engagement for a successful mitigation of risks induced by aquatic pollutants – AquaticPollutantsTransNet
AquaticPollutantsTransNet will foster the knowledge transfer and exchange from local to European scale and beyond. It supports the AquaticPollutants projects to create synergies and to maximize impacts of their research results through collective strategic dissemination, exploitation and communicati
Social Networks for Natural Disaster: Operational Interpretation – ReSoCIO
Two-thirds of French municipalities are considered to be exposed to natural disasters. Flooding is the most frequent risk, while seismic risk is among the most feared in terms of potential victims. This situation is likely to worsen in the coming decades, due to the combination of an increase in the
