Organisation : Faculté des Sciences, des Technologies et de Médecine (FSTM)

  • News

    Significant advances in nonequilibrium physics

    Phase transitions are ubiquitous in Nature and manifest in the sudden changes in the state of matter when the external conditions are varied. Cooling a piece of iron can turn it into a ferromagnet and make a gas of alkali atoms form a Bose-Einstein condensate. The driving of phase transition leads to the formation of…

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  • News

    Luxembourg and Japanese Universities exchange about data science

    The Luxembourg-Waseda conference on Modelling and Inference for Complex Data took place from January 23-25 at the University of Luxembourg in hybrid mode. Around 100 participants registered online and in person for this event which offered a quite diversified and broad range of methods and tools to deal with complex data. 

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  • News

    Computational Modeling of Handwriting Movements

    On February 9th in Maison du Savoir in Belval, around 40 participants gathered together to listen to the inaugural lecture of Prof. Dr. Luis Leiva on “Computational Modeling of Handwriting Movements”.

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  • Events

    Physics Colloquium

    Self-propelled particles

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  • Events

    PhD Defense: Spaceborne GNSS Reflectometry for Land Applications

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    PhD Defense: The use of Linked Data and Information Models for the End-of-Life Cycle of Built Assets

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    PhD Defense: Assessment of mechanism of brain metastasis formation

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    PhD Defense: Digital health to enhance adjuvant endocrine therapy adherence in breast cancer

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    PhD Defense: Estimating terrestrial water storage variations from GNSS vertical displacements in the Island of Haiti

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  • Events

    Learning quantum fuzzy orbits from coherent data

    In this talk, the speaker will discuss a data-driven strategy parallel to quantum tomography. Thus, offering an alternative approach to the study of quantum dynamics directed at quantum computing, condensed matter, among other applications. Starting with time series data, possibly noisy, and a class of universal differential equations parameterised by feed-forward neural networks, the dynamical…

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