Search
REal-GAs effects on Loss mechanisms of ORC turbine flows – REGAL-ORC
Organic Rankine Cycle (ORC) power systems offer a great potential for waste heat recovery and environmental-friendly power generation but relatively little is known regarding the impact of real-gas effects on loss mechanisms in ORC turbine expanders. A further increase of ORC turbine efficiencies can only be achieved if relevant non-ideal compressible fluid dynamical phenomena are better understood and modeled.
Origins of divergence – The causes of pre- and post-zygotic isolation barriers in Spodoptera frugiperda – ORIGINS
This project aims at deciphering the factors at play in the divergence of the two sympatric strains of the fall armyworm (FAW) named corn- and rice-strain from their preferences for different host plants . This noctuid moth is an ideal model organism to investigate different reproductive barriers causing speciation. While indistinguishable, the two strains can be differentiated genetically, and they exhibit phenotypic differences that can function as pre-or post-zygotic reproductive barriers.
Liquid-phase 3D electron microscopy for materials science and biology – Liquid3DSTEM
The objective of the project is to establish the technique of electron microscopy in 3D mode and in liquid phase (3D liquid STEM) as a new modality of 3D microscopy. Liquid phase STEM allows the study of samples in a liquid. The establishment of the technique in 3D would open a new avenue for nanoscale characterization of samples from materials science and biology.
Luminescent coordination-driven supramolecular assemblies based on pre-organized Cu(I) precursors stabilized by main-group element ligands – SUPRALUM
Luminescent coordination-driven supramolecular assemblies based on pre-organized Cu(I) precursors stabilized by main-group element ligands
Cloud Droplet Number Concentration – satellite retrievals Advanced by Atmospheric models for Assessing Aerosol-Cloud Interactions – CDNC4aci
Improving the quantification of the anthropogenic radiative forcing related to aerosol-cloud interactions, via a synergistic method using satellite observations and high-resolution modelling for better estimates of the cloud droplet number concentration
Relationship to nature and gender equality. A contribution to critical theory from feminist practice and mobilisation in agroecology in Brazil – GENgiBRe
The GENgiBRe project analyses the construction of the relationship to nature from a gender, class and race perspective in two rural regions of Brazil that are subject to socio-environmental conflicts. It starts from the experience of women farmers in contact with the agroecological movement, which it situates in gender and other power relations,in socio-environmental conflicts and in the process of neoliberalisation of nature led by the current Brazilian government.
The transmission of social disadvantage in immigrant and native families across three generations in France – 3GEN
Is social mobility stronger in immigrant families? What factors promote mobility or, on the contrary, social reproduction from one generation to the next? What is the role of grandparents, in addition to that of parents, in intergenerational transmissions?<br /><br />The 3GEN project will provide scientific answers to these questions and many others, using data from the TeO2 survey and qualitative family case studies.
Graph-based Learning and Analysis for intrusion Detection in Information Systems – GLADIS
The project aims to build an efficient real-time cyber-attack tracking system based on a graph representation of the system activities. The main scientific novelty consists in modelling heterogeneous logs incoming from different devices into a set of dynamic graph structures in order to track the different activities and behaviors, pinpoint the abnormal ones and trace the sources of the attacks using graph analytics techniques (graph learning and anomaly detection).
SECure Reconfigurable processor using Emerging Technologies – SECRET
The Internet of Things is today a well-known ecosystem, continuously growing at an impressive speed, increasing the amount of collected and transmitted data which becomes enormous (40 zettabytes in 2020). Depending on the application, the data may be sensitive and need to be protected using security features such as cryptography. In addition, it must be a priority to decrease the energy consumed by the devices in order to increase their battery life or to enable autonomous sensor nodes.
Photonic Augmented Security via Physical Unclonable Functions – PHASEPUF
Recently, major security concerns have arisen due to technological advancements in reverse engineering and cyber-attack techniques undermining hardware integrity and information security.<br />Physical unclonable functions are hardware-based solutions allowing to identify counterfeit hardware at the chip level or to generate cryptographic keys, avoiding their local storage into digital memory, thanks to their complex highly unpredictable responses strongly dependent on fabrication tolerances.