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A Correct-by-construction methodology for supporting execution time variability in real-time systems – Corteva
In real-time safety critical systems, it is of paramount importance to guarantee that computation is performed within certain time bounds, otherwise a critical failure may happen. Today, it is difficult to build efficient and predictable systems on modern processors, because the execution time of a piece of code exhibits a large variability. The objective of this project is to solve the problem of the large variability of execution times by using sound and provably correct programming models.
Manipulation of magnetic skyrmions for logic-in-memory applications – SKYLOGIC
Fast , high density and energy efficient microelectronic devices are crucial enablers of today’s IT technology pushed by the advent of cloud computing, big data and the internet of thing. To face t
TERAhertz links using SOlid state devices and photoNICs – TERASONIC
The primary goal of TERASONIC project is the realization of a common French-German 100 Gbit/s 300 GHz wireless system over 1 km range. The proposed architecture gathers the cutting edge of photonics
Zinc magnesium OxyNitridEs – ZONE
Flat panel displays constitute the basis of many mass-production optoelectronic devices, including smart phones, notebooks, laptops and flat screens in general. Most of these devices are based in liqu
Electronic localization effects in nitride heterostructures and devices – ELENID
Accounting for carrier localization induced by disorder in semiconductors is a daunting task. Classically, it requires solving the Schrödinger equation (both for electrons and holes) for random realiz
Controlling valley polarization in 2D transition metal dichalcogenides with chiral plasmonic nanostructures – 2D-CHIRAL
Transition metal dichalcogenides (TMDs) are emerging materials exhibiting a range of intriguing properties. In particular, materials like MoS2 or WSe2, which are indirect gap semiconductors when bulk,
Data integration and cleaning for statistical analysis – DirtyData
Machine learning has inspired new markets and applications by extracting new insights from complex and noisy data. However, to perform such analyses, the most costly step is often to prepare the data.
Virtual and Industrial Design of material Appearance – VIDA
Since the beginning of the industrial era, prototyping has been an important stage for manufacturers as a preliminary step before mass production. With the rise of Computer Science and recent advance
The Automatic Biomolecule Random Walk Analyser: Single Molecule Science at the Age of Big Data – TRamWAy
Single molecule biology is demonstrating impressive technical advances. New imaging techniques are introduced every other month, enabling the recording of large sets of biomolecules at ever-higher den
High-performance processing techniques for mapping and monitoring environmental changes from massive, heterogeneous and high frequency data times series – TIMES
Our Environment is perpetually subject to changes in space and time with significantly varying triggers, frequencies, magnitudes and also consequences to humans. It is critical to monitor Earth surfac