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The NUQNET project focuses on improving the accuracy of predictions for neutrino-nucleus interactions using advanced machine learning techniques. By developing new algorithms and methodologies, it aims to enhance the understanding of neutrino oscillation phenomena, which are crucial for future experiments in particle p…
Neutrino oscillation experiments are entering a new era of precision, utilizing cutting-edge technologies and capabilities to offer unprecedented insights The ERC project NUQNET aims to enhance the prediction accuracy of neutrino-nucleus interactions by implementing advanced machine learning techniques.
This endeavor involves incorporating predictive errors, a critical step necessary to meet the requirements and fully unlock the discovery potential of upcoming neutrino oscillation experiments.Pr…
UNIVERSITAT DE VALENCIA
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