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Smart actuator and sensor networks for icing condition monitoring and low-consumption de-icing system control – SmartICE
The project focuses on addressing aircraft icing issues in the context of decarbonizing aviation. Aircraft icing, which affects lift, drag, and engine performance, is a significant risk, especially as climate change creates more adverse weather conditions like freezing rain. Future energy-efficient
Social Cognition Screening – SCOS
This research project questions the topic of social cognition of Autism Spectrum Disorder (ASD) at a fundamental level by investigating visual activity and the link between social cognition and cognition and at an applied level providing screening to professionals in the medical-social field. On an
Eco-design of sustainable high entropy shape memory alloys: combinatorial and data-driven exploration – ECO-SHEAP
Shape memory alloys (SMAs) are a family of smart materials characterised by remarkable properties such as superelasticity, shape memory or damping. However, these alloys are prone to functional thermal fatigue and thermal ageing problems. One way to overcome these problems is to develop high entropy
Geographic entities Evolution in Knowledge graphs – GEvoK
The GEvoK project aims to automate the description of territorial, land use and land cover changes to assist urban and environmental planners in their decision-making. The objective is to produce standardized, interoperable Spatio-Temporal Knowledge Graphs (ST-KGs) that comply with FAIR principles,
Chemical Reaction Optimizations in the AI Era: Fewer, Faster, Better – ChemAI
Chemistry, particularly synthetic chemistry, is undergoing a profound transformation in its practices with the advent of robotics, flow chemistry, in-line monitoring and digital tools. Optimization is one of the areas of synthetic chemistry most affected by the digitalization of chemistry because, b
Pushing a PETase to the extremes of NMR – NMRATOMIC
Nearly 90% of the 400 million tonnes of plastics produced in 2022 were derived from fossil sources. Despite numerous efforts over the past decades, only 10% come from recycled sources, whether through mechanical or chemical processes, or the use of bio-based plastics. In addition to reducing the pro
Origin of bee oRchIds superGenes And Magic traItS – ORIGAMIS
Orchids in the genus Ophrys have a fascinating pollination strategy (sexual swindling). Their flowers mimic the visual, olfactory and tactile characteristics of female pollinator insects to such an extent that the males of these species are attracted, attempt to mate with the flower, and take pollen
Artificial Intelligence-based Diagnosis of bloodstream Infection from digitized BOttom-up Proteomes – AIDIBOP
Sepsis is a syndromic response to bloodstream infection (BSI) that affects 49 million people globally each year and causes 11 million deaths annually. Standard of care (SoC) for diagnosing BSI relies on MALDI-TOF mass spectrometry for pathogen identification (ID) while antibiotic susceptibility tes
Gain-lOss Dynamics and hybridiZation in Integrated nanoLaser Arrays – GODZILA
The ultra-dense integration of nanophotonic components now allows for the development of all-optical computers that are more energy-efficient and faster than analogous artificial intelligence solutions emulated on computers. To achieve this, it is necessary to conceive new concepts and implement the
Low energy neuromorphic devices based on spin wave scattering by topological spin texture – Neurowave
Artificial neural networks underpin the current revolution in artificial intelligence (AI), reshaping how society views, processes, and produces information. However, they have led to a large rise in the global IT power consumption due to poorly optimized hardware architectures and computationally
