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The architecture of plumbing systems using machine learning thermobarometry and chemometry - Livestream

Luca Caricchi

Professor Luca Caricchi will be introducing the fundamentals of the machine learning approach he used to estimate pressure and temperature of crystallisation, and melt in equilibrium with clinopyroxene and amphibole. He will also present an application of this approach to St. Kitts (Lesser Antilles), Mt. Etna and Colli Albani (Italy) as these systems erupt magmas of a wide compositional variety and are located in different geotectonic settings.

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Tuesday, 11/09/21

Contact:

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Cost:

Free

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Stanford University


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