Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Machine-learning application to igneous and metamorphic rock compositions: Quantitative estimation of compositional changes recorded in subduction-related metamorphic rocks (abs.)

Authors=S. Matsuno, M. Uno, A. Okamoto

Journal/Book_names=Annual Meeting of the Geochemical Society of Japan

volume=70

pages=PR0114

Publish_year=2023

Publisher=Geochemical Society of Japan

Language_of_Text=JA

DOI=10.14862/geochemproc.70.0_215

ID=300035229

@id=https://gbank.gsj.jp/ld/resource/geolis/300035229