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Modelling NMR Spectroscopy with Machine Learning : towards Large-Scale Modelling of NMR of Oxide Glasses

… as it provides precise information on both the structure and dynamics at an atomistic scale. The local environment of … be acquired independently of the crystalline, disordered and vitreous form of the studied material. For these … as they narrow the gap between the accuracy of DFT methods and the efficiency of classical approaches to compute and …

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Les activités d’IBM sur les technologies quantiques

… build universal quantum computers for business, engineering and science. This effort includes advancing the entire quantum computing technology stack and exploring applications to make quantum broadly usable … disease diagnosis, fraud detection, and efficient energy management. Materials : Simulating quantum mechanical …

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Design, Doctorat, Formation, Innovation, International, EUGLOH, Recherche, Sciences et société

DOCTOR'PRENEURIALES: 2 DAYS LEFT UNTIL REGISTRATION CLOSES!

… of training Open innovation challenges organizations and implies to change our way of working by becoming more agile and focusing on interactions with the users and customers concerned. The main objectives of this seminar …

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Talents

Antoine Girard nommé fellow de l’Institute of electrical and electronics engineers (IEEE)

… Antoine Girard nommé fellow de l’Institute of electrical and electronics engineers (IEEE) Antoine Girard nommé fellow de l’Institute of electrical and electronics engineers (IEEE) Talents La prestigieuse … internationale des « fellows » de l’Institute of electrical and electronics engineers (IEEE) vient d’accueillir ses …

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Recherche

UQSay Seminar #27: Bayesian optimisation of variable-size design space problems

… variable optimization problems, in which the objective and constraint functions can depend simultaneously on continuous and discrete variables. Additionally, complex system design … space varies dynamically (with respect to both number and type of variables) along the optimization process as a …

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Recherche

UQSay Seminar #33: Reliability sensitivity analysis with FORM

… which are often used to assess the influence of the input random variables on the probability of failure, are the FORM … most likely failure point in an underlying independent standard normal space and are obtained as by-products of the FORM analysis. The …

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Doctorat, Recherche

UQSay seminar

… input distributions from noisy, observable outputs, and such problems are increasingly examined in Bayesian … the targeted inputs are affected by a mixture of aleatory and epistemic uncertainties. While they are characterized by … to inference. In addition to numeric conditioning notions and regularization techniques used in inverse problems, we …

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