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  • Machine Learning-Augmented Spectroscopies for Intelligent Materials Design

    Series series Physics and Astronomy (R0)
    The thesis contains several pioneering results at the intersection of state-of-the-art materials characterization techniques and machine learning. The use of machine learning empowers the information extraction capability of neutron and photon spectroscopies. In particular, new knowledge and new physics insights to aid spectroscopic analysis may hold great promise for next-generation quantum ... Leer más

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  • Computational Fluid Dynamics in Fire Engineering

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  • Flowing Matter

    Edición de Federico Toschi, Marcello Sega ...
    Series series Physics and Astronomy (R0)
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  • Statistical Modelling of Molecular Descriptors in QSAR/QSPR

    Series series Quantitative and Network Biology
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  • Multiscale Analysis of Deformation and Failure of Materials

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    Series Libro 5 - The Wiley Microsystem and Nanotechnology Series
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  • Computational Methods for Large Systems

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  • Quantum Information and Computation for Chemistry, Volume 154

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  • Synchronization

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  • Quantum Chemistry in the Age of Machine Learning

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