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high strain RAte, TEmperature and Small-scale mechanical properties of materials – RATES
The RATES project aims to develop a unique expertise on a national scale (and almost unique in the world) on the measurement/modeling of the behavior of materials at the scale of a few microns (scale of surface layers, coatings, areas affected by new manufacturing processes) at very high strain rates and very high temperatures.
Workplace democracy: a European ideal? : discourses and practices about the democratization of work after 1945. – EURO-DEM
such as political theory, social and political science, history, legal theory, economy, management, and
Water-based organic semiconductors colloidal dispersions for photovoltaics – WATER-PV
The fabrication of organic photovoltaic (OPV) devices implies the use of halogeno and/or aromatic solvent to process the active layer. In order to make this technology cleaner, it is necessary to move to eco-friendly solvent and water is the best one. This project aims at developing rationally-designed water-based organic semiconductors colloidal dispersions inks.
WAter vapor LIdar NEtwork ASsimilation – WaLiNeAs
Heavy precipitation events pose a threat to human lifes as well as the economy and the environment of impacted regions. Considerable efforts to improve the forecast skill for such severe events have been made in recent years. However, predicting such high-impact events remains limited because of the lack of adequate high frequency, high resolution vertically resolved water vapor observations in the lower troposphere to be assimilated in numerical weather prediction models.
WAstewaTEr puRification by solidification: Simulation by phAse Field mEthod – WATERSAFE
strong innovative way in the chemical engineering science to model a dynamic system in transition to represent
Université Paris-Saclay Doctoral Programme in Artificial Intelligence – UDOPIA
The doctoral program in Artificial Intelligence of Université Paris-Saclay<br />The UDOPIA PhD programme builds on the extensive strengths of the University of Paris-Saclay in AI and related fields to create a unique cohort of PhD students trained at the forefront of core AI topics, specialised AI topics and AI applications. The students come from a rich ecosystem with strong links to industry, and existing instruments such as the DataIa convergence institute in AI or the SaclayIA computing platform will foster interdisciplinarity, mobility, entrepreneurship, and broad di?usion of research results to universities, industry, and the general public
Universite de Lyon Doctoral Program in AI – IADoc@UdL
members and the scientific federation "Computer science in Lyon", jointly led a thorough study that identified
Unifying Theories for Multivariate Algorithms – UTMA
Studying the tractability of computational problems is a core challenge in theoretical computer science. A central question is when, why, and how computational problems can be solved efficiently. Towards answering this question, the theory of algorithms has offered powerful unifying results, called algorithmic meta-theorems (AMTs) that provide general mathematical conditions implying the automatic derivation of efficient algorithms.
Understanding significance of tubulin detyrosination/re-tyrosination cycle in synaptic plasticity – SPEED-Y
Vasohibin Binding protein (SVBP) (Aillaud et al., Science 2017). In recent collaborative studies, Partner