Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM): Recent submissions
Now showing items 43-49 of 1272
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-07)We present an adaptive physics-informed deep homogenization neural network (DHN) approach to formulate a full-field micromechanics model for elastic and thermoelastic periodic arrays with different microstructures. The ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-02)In order to better constrain the alteration history of the Ryugu parent body, we performed a multi-analytical study combining scanning electron microscopy, transmission electron microscopy and infrared spectroscopy on ...
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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 ...