日本地球惑星科学連合2024年大会

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[EV-04] ランチタイムスペシャルレクチャー

2024年5月27日(月) 12:30 〜 13:40 ステージエリア (国際展示場ホール6)


13:05 〜 13:40

[EV04-04] Machine Learning in Volcanology and Petrology

*Luca Caricchi1 (1. Department of Earth Sciences, University of Geneva, Switzerland)

Understanding the architecture of magmatic systems and their temporal evolution is crucial to anticipate the behavior of volcanic systems. Essential to this endeavor is the quantitative study of past eruptions. I will present machine learning approaches applied to the geochemistry of rocks and minerals that allow to quantitatively link the evolution of plumbing systems and the eruptive behavior of volcanoes.