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Resilient multimodal transport management with shared autonomous electric vehicles under disruptions – RAISE
Natural disasters, technological failures, and human-caused accidents frequently disrupt public transport lines and infrastructure. This may result in shutdowns of public transport services and shift of travel demand to road networks. Without effective emergency response strategies, urban traffic sy
Exploring the potential of Optimal Transport for Monte Carlo methods in Medical physics – ExOTics
This project focuses on the integration of the optimal transport (OT) method into Monte Carlo (MC) simulations in medical physics, with a particular emphasis on dosimetry, which calculates the dose distribution in the patient. MC simulations are commonly used in this field, but they are notoriously
Domain Adaptation for Neural Data Integration – DANDI
Developing machine learning methods suitable for data-limited systems is a core concern of artificial intelligence (AI) for health which typically suffers from sparse data. One promising approach is to leverage related data-rich systems through transfer learning; for example, by pre-training models
Automatic Sail: AI-Driven Optimization for Sustainable Maritime Navigation and Wind-Assisted Propulsion – AutoSail
Shipping accounts for 2.9% of global CO2 emissions, with a potential increase of 44% by 2050. To address this issue, wind-assisted propulsion solutions like Norsepower's rotor sails and Michelin's inflatable sails are being explored. However, there is limited research on real-time adaptive control s
Electrohydrodynamics and Chemical Analysis of Plasma-treated Solutions – HYDROCAPS
The HYDROCAPS project focuses on understanding the fundamental interactions between cold atmospheric plasma jets and liquid solutions, specifically investigating the electrohydrodynamic (EHD) effects and liquid chemistry. Cold plasma technology, increasingly applied in areas such as pollutant degrad
MIcrostructured Hydrogel supported on MEmbrane BIOreacTor for Intensified bioproduCtion – MIMEBIOTIC
Biotechnological processes are a profitable and economically viable alternative for a wide range of industrial productions, provided that the production criteria are maximized (i.e. productivity, yield, final titre). One of the strategies for intensifying bio-production is to obtain very high conc
Heterostructures for exploring altermagnetic and superconducting spintronics – HEXAS
Altermagnetism describes a symmetry class of compensated magnets in which the spin symmetry group to which they belong allows for alternating spin polarizations both in the crystal space and in the momentum space of the non-relativistic electronic structure. Altermagnets combine merits of ferromagne
Combining low-cost biochar, biogas, and cyanobacteria fertigation technologies with low-input crops for sustainable bioproducts in smart circular farming systems – CombiFarm
The CombiFarm project develops living labs to demonstrate: (1) circular farming systems combining energy, carbon and nutrient recovery systems based on low-cost biochar, biogas, and microalgae fertigation technologies together with (2) sustainable cropping systems based on low-input crops (alfalfa,
Electrostatic doping of 2D semiconductors on Gallium Nitride based heterostructures – 2DonGaN
2DonGaN proposes a new solution to efficiently dope 2D semiconductors (SC) grown on III-V heterostructures (e.g. AlGaN/GaN). Depending on the stack, these heterostructures induce spontaneous and piezoelectric polarizations that generate fixed positive or negative charges at their surface. These char
A prospective analysis of the tensions between higher self-sufficiency and a healthier, more sustainable food system – SOUVNUTRI
How and to what extent the French food production system could ensure healthy and sustainable diets for its population while increasing its capability for self-sufficiency? From a political point of view, there is a growing demand from consumers/citizens for what is considered a better control of
