Search for a funded project
Development of stainless steel microbial cathodes for microbial fuel cells – BioCathInox
The “Laboratoire de Génie Chimique” has made a decisive answer to the problem of the cathode. This innovation on the cathodic process could be the solution to saving MFC technology. However locks persist and scientific knowledge on fundamental processes are not yet understood. The final objective is
Dipolar relaxation on-demand in nanoparticle-polypeptide hybrid materials – DINAPO
The DINAPO project aims at combining nanoparticles (NPs) and peptidic polymers to form hybrid materials, structured at the nanoscale, tuned by the nature of the building blocks and responsive to external stimuli (electrical, mechanical and optical). Our ambition is to couple the intrinsic functional
Direct synthesis of DImethyl ether from synGAS – DIGAS
DIGAS project aims at developing a heterogeneous catalytic process for the direct synthesis of dimethyl ether (DME) from sustainable sources and for several energy applications. The project goes in the frames of the Challenge “Clean, safe and effective energy” for the Young Scientist competition. Sy
Disordered honeycomb panels optimized to minimize structural impacts of non-stationary loadings on aircraft and aerospace components – DIZZY
The concept of Anderson localization has an untapped potential that could help improve aerospace and transport engineering by enabling the development of lightweight and robust materials capable of mitigating non-stationary dynamic loadings of high energy. Initially developed to explain the metal-in
Dissipative Evolutions and Convergence to Equilibrium – EVOL
Dissipative evolution equations are key tools for the modeling in Physics, Biology or Mathematics applied to Economics. The study of stationary solutions is not sufficient in most of the cases. As soon as complex dynamics enter into the game or if non-linearities are taken into account, one still ca
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
Domain Adaptation on Time Series – DATeS
Machine learning models generally assume that training and test data are identically distributed. However, this assumption often breaks down in real-world applications due to shifting data distributions over time and across contexts. Domain Adaptation **(DA)** tackles this challenge by allowing mode
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
Durable and Environmental design of Monitored COncrete structures in Marine environment – DEMCOM
The aim of the DEMCOM project is to tackle all these challenges through the major issue that affects marine concrete structures integrity: alteration by chloride ingress. For this purpose, this project will be divided in four Tasks (T). The methodological approach, described by the figure, is the co
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
