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Dynamic Glycosylated Polymers as Potential Antibacterials – GlycoDyn
WHO has established a list of pathogens (ESKAPE) displaying antimicrobial resistance. Among them, Pseudomonas aeruginosa (PA) is a bacterium involved in multiple infections and is lethal for patients with cystic fibrosis. Bacteria bind to host cells through protein-carbohydrate interactions. Lectins
Dynamic Constitutional Systems-toward selection of functions – DYNAFUN
The key objective of DYNAFUN is to provide a research programme with a deep knowledge and expertise on Dynamic Constitutional Systems, with new insights into the basic features that control multivalent recognition towards natural selection of functions. Research will be guided by the ambitious scien
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
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
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
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 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
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
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
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
