Organisation : Département Ingénierie
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News
Une vallée de l’hydrogène pour promouvoir l’hydrogène vert au pays
En savoir plusLe Luxembourg a lancé Luxembourg Hydrogen Valley (LuxHyVal), un projet qui vise la production potentielle d’hydrogène vert à Bascharage, dans le sud du Luxembourg, en 2026. LuxHyVal est le fruit d’une collaboration entre 17 partenaires de sept pays, dont l’Université du Luxembourg est le principal coordinateur par l’intermédiaire du Prof. Bradley Ladewig.
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News
The Faculty presents its main achievements 2021-2022
En savoir plusThe Faculty of Science, Technology and Medicine (FSTM) presents its main achievements for 2021-2022. The creation of new training programmes, the recruitment of talented people, the acquisition of renowned grants and the development of outreach activities were at the top of the agenda.
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News
Unveiling the complex physics of a blast furnace
En savoir plusScientists and engineers from the University of Luxembourg have developed cutting-edge multi-physics simulation technology to analyse the complex process in a blast furnace. Their findings have been recently published.
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News
First strategic workshop of the MODENERLANDS project
En savoir plusMembers of the international project “Modular Energy Islands for Sustainability and Resilience” (MODENERLANDS) met at the University of Luxembourg on 15-16 May 2023 for the first strategic workshop. More than 40 participants attended the event on Belval campus.
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News
Visit of students from the Schengen Lycée Robotics Club
En savoir plusOn 19 June, the University had the pleasure of hosting a group of 10 students from the German-French Lycée Schengen, accompanied by their teachers.
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News
Smart Manufacturing Week 2023: presentation of sustainable projects
En savoir plusIn the frame of the Smart Manufacturing Week which took place from 6 to 9 June in Luxembourg, two projects from the Department of Engineering at the University of Luxembourg were presented to find potential partners.
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Events
Machine Learning Seminar: Accelerating FEM with machine learning: an introduction to the Integrated Finite Element Neural Network (I-FENN).
En savoir plusAbstract:Complementary to conventional numerical methods, physics-informed neural networks (PINNs) have recently emerged as alternative approximators for the solution of partial differential equations (PDEs). The main benefit of PINNs versus the conventional methods is their tremendous computational efficiency in terms of predictive speed, once the PINN model has been trained. Leveraging on their swift predictive capability,…
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News
Bridges connect, if not damaged
En savoir plusIn May 2023, the University of Luxembourg in collaboration with the Universities of Liège and Würzburg and industrial companies organised a conference on « Emerging trends in bridge damage detection, localisation, and quantification » on Kirchberg campus.
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Events
Machine Learning Seminar: “Freedom of design” in chemical compound space
En savoir plusAbstract:The rational design of molecules with targeted quantum-mechanical (QM) properties requires an advanced understanding of the structure-property/property-property relationships that exist across chemical compound space (CCS). In particular, QM methods combined with machine learning (ML) techniques have accelerated the accurate calculation of molecular properties, providing a direct mapping from 3D molecular structure to property space. However,…
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Events
Machine Learning Seminar meeting: Encoding Domain Expertise into Multilevel Models for Infrastructure Monitoring
En savoir plusAbstract:Data from populations of systems are increasingly prevalent. Infrastructure continues to be instrumented with sensing systems, emitting streams of telemetry data with complex interdependencies. Data-centric monitoring procedures tend to consider these assets/datasets as distinct – operating in isolation and associated with independent data. In contrast, this work looks to capture the statistical correlations and interdependencies…