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Towards orbitronics function in transition-metal-oxide heterostructures: a novel paradigm in oxide electronics – ORBIFUN
This project aims at unlocking the potentialities of the orbital-physics of Transition Metal Oxides (TMOs), establishing the basis for novel orbitronics function. The principal aspiration of this promising area of research is to switch between two electron orbital states via an external stimulus, su
Domain adaptation from theory to practice – MATTER
Domain Adaptation (DA) is a fundamental problem in statistics, Machine Learning (ML), and data science where one wants to estimate a predictive model from labeled training data in the presence of a shift or change in the properties of the testing data. This problem is very common in practical applic
New generation of machine-learning based Models for Aerodynamics Computations – NEWMAC
In this project, the goal is to investigate new machine learning methodologies to improve turbulence models for aeronautical applications. In aerodynamics, the models currently used in industry are based on strong approximations and are calibrated on very simple configurations. These models have ser
Tropospheric Ozone in Southeast Asia: Budget and Mitigation Strategies – OSEAMS
On regional and global scales, tropospheric ozone is a key compound controlling atmospheric oxidation capacity and an important driver of climate change. On a local scale, ozone is a criteria air pollutant that has detrimental effects on human health and natural ecosystems. Although having successfu
Mass Spectrometry profiling of Bacteria with IR-desorption ionization on chemically functionalized porous silicon surfaces coupled to electrospray. Towards an early detection of sepsis. – MOONSTONE
We propose to develop a portable MS-based clinical tool for the identification of the main bacteria responsible for sepsis (S. aureus, E. coli, Pseudomonas), from a blood plasma sample, from the earliest stages of infection. The tool will be based on (i) an integrated and transferable IR desorption
A Water mass analysis and Exploration of linkS between phytoplankton, bacteria and trace MEtals along the South West INdian GEOTRACES Section – AWESOME-SWINGS
The Southern Ocean is a major sink for anthropogenic carbon, largely controlled by the biological pump, which depends on the availability of macro- and micro-nutrients, including trace metals (Fe, Cu, Zn, Co, Mn, Ni). Microbial processes play a key role in recycling, remineralization, and the modula
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
Wasserstein Gradient Flows for Optimization and Sampling: non asymptotic properties and the non log-concave setting – WOS
An important problem in machine learning and computational statistics is to sample from an intractable target distribution. In Bayesian inference for instance, the latter corresponds to the posterior distribution of the parameters, which is known only up to an intractable normalisation constant, and
Multiscale ab initio skyrmionics in 2D magnets – MATRICES
Magnetic skyrmions, topologically protected chiral spin structures with particle-like properties, have attracted tremendous attention due to their potential information storage and processing applications. The main focus of the community so far has been on skyrmions in bulk, ultrathin films, and mul
Advanced Bipolar Membranes for Energy and Electrodialysis Technology – APRiCOT
Bipolar membranes dissociate water (H2O à H++OH-) at the interface between a proton and a hydroxide conductor under applied bias. This is being exploited industrially in electrodialysis to produce acid and base, and could be of great value for water and CO2 electrolyzers. Recently, some of us introd
