SAM: Soumissions récentes
Voici les éléments 329-335 de 6362
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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, 2024-05)Short Fiber Reinfored Thermoplastics (SFRTs) like PA66GF composites are highly heterogeneous materials with a rather complex microstructure such that the characterization and the prediction of their mechanical behavior ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-04-30)Circular Economy initiatives have introduced a solution demand for the treatment of End of Life (EoL) products, switching from shredding and material recycling to the recovery of modules/components that remain functional. ...
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Article dans une revue avec comité de lecture(2024-07)With the rising cost of energy and the advancement of corporate social responsibility, there is a growing interest in addressing the challenge of recovering and storing high-temperature waste heat. Sensible heat storage ...
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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 ...