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In-Situ X-ray LAMinography with Bi-axial Loads for the Multiscale Investigation of DAmage Formation in Materials for Transportation – LAMBDA
In the pursuit of lighter materials and optimized thin-walled components for transportation, knowledge about the characteristic ductile damage mechanisms in metal sheets is key.As the study of damage in materials has, up to now, been focussed on proportional loading, the strain-damage interaction is
Robust Optimization and Digital Twins for Maritime Transition – MATritime
The maritime sector faces significant challenges: imposed reductions in the energy footprint of maritime transport, the advent of new modes of propulsion (sail, hydrogen), automation, and digitization ... At the same time, the numerical/digital revolution in naval design processes requires a great
Optimization of Required and Accessible Manufacturing Made Necessary by an Eminent Sanitary Crisis – Odefrance
The ODEFRANCE project aims to provide the Hauts-de-France region with the capacity to take care of patients in crisis period when marketed pharmaceutical specialties can no longer be transported due to a disruption in the supply chain. Indeed, the latest health crisis has shown that certain specialt
Performance and Systemic optimization of Emergency medicine – POSAMU
For the SAMU, the urban service typical of the growing gap between the logic of the healthcare system and that of the sustainable city, the constraints are increasingly more intense. Because of traffic problems at certain hours and difficult accessibility to some areas generated by modern urban stru
Artificial Intelligence Methods for Energetic Particle transport in fusion plasmas – AIM4EP
Energetic particles are ubiquitous in magnetically confined fusion plasmas. They contain a significant fraction of the plasma energy and are thus vital for the performance of fusion devices such as ITER. However, the presence of energetic particles and the fact that fusion plasmas are complex system
Simulation Analytics and Metamodel-based solutions for Optimization, Uncertainty and Reliability AnalysIs – SAMOURAI
The project's main objectives are to develop innovative simulation and surrogate-based optimization methodologies while pushing back their current limits of performance and applicability, guided by real-world applications. These applications are related to the design and risk assessment of critical
BaTiO3 nanocrystals tracking in Deep biological tissues using Adaptive optics: in-vivo investigations of intraneuronal transport abnormalities – BADASS
BADASS project focuses on the tracking of moving nanoparticles in cells and in-vivo, in both real-time and super-localization regimes. Implementing an optimized and fast adaptive optics loop to a two-photon tracking microscope (already developed) is at the technical heart of the project. The device
Foldamer Scaffolds for Electron Transport – FOSET
Foldamers are synthetic oligomers that adopt folded conformations inspired by the structures of biopolymers. The FOSET project stems from recent major advances in foldamer research: (i) the stepwise organic synthesis of aromatic amide oligomers that fold into very long (5-10 nm) and conformationally
DynamIc control and planning for intelLIGENT manufacturing processes and systems – DILIGENT
Following the success of the IMAGINE project (ANR-15-CE10-0003), the consortium aims to expand research on integrated real-time decisions with predictive strategies. DILIGENT's goal is to transform intelligent manufacturing processes by proactively integrating dynamic control and planning. Productio
Nonlinear reduced models for guaranteed and efficient calculations in quantum chemistry – NUMERIQ
Numerical simulations performed for modelling molecular and materials systems are costly and represent a large part of the calculations run on supercomputers (around 35%). The aim of this project is to develop fast and reliable methods in this field, through the design and development of nonlinear
