Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM): Soumissions récentes
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Article dans une revue avec comité de lecture(Elsevier BV, 2023-11)Progress in hydrogen fuel powered systems has been propelled by the implementation of secure, reliable, and cost-effective hydrogen storage and transportation technologies. The fourth category, distinguished by a polymer ...
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Communication avec acte(SCITEPRESS - Science and Technology Publications, 2024-02)Nowadays, Deep Learning (DL) techniques are increasingly employed in industrial applications. This paper investigate the development of data-driven models for two use cases: Additive Manufacturing-driven Topology Optimization ...
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Article dans une revue avec comité de lecture(Royal Society of Chemistry (RSC), 2024-02)In this paper, we present a novel approach for the preparation of reduced graphene oxide (rGO) through the radiolytical reduction of commercial graphene oxide (GO). The method is highly efficient and environmentally friendly ...
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Laue microdiffraction on polycrystalline samples above 1500 K achieved with the QMAX-µLaue furnace Article dans une revue avec comité de lecture(IUCr (International Union of Crystallography), 2024-03)X-ray Laue microdiffraction aims to characterize microstructural and mechanical fields in polycrystalline specimens at the sub-micrometre scale with a strain resolution of ∼10−4. Here, a new and unique Laue microdiffraction ...
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Article dans une revue avec comité de lecture(2023-10)Topological data analysis (TDA) is a powerful and promising tool for data analysis, but yet not exploited enough. It is a multidimensional method which can extract the topological features contained in a given dataset. An ...
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Communication sans acte(2023-05)Physical aging plays an important role in determining the long terms performance of polymers, especially PLA, whose Tg is close to ambient temperature. Considering long term performances, PLA/PHBV/PODC blends are the ...
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Communication avec acte(IEEE, 2023-11)One of the biggest challenges in successfully applying Artificial Intelligence (AI) in the Defense sector is the availability of trustful domain specific data to train AI models on. These data have to be generated and ...