Unsupervised machine learning approach for regional geochemical data from North Atlantic Igneous Province: Implications for LAB and plume-rift interaction (MGI28-04+G1888)(abs.)

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

Unsupervised machine learning approach for regional geochemical data from North Atlantic Igneous Province: Implications for LAB and plume-rift interaction (MGI28-04+G1888)(abs.)

Authors=Sayantani Chatterjee, Hikaru Iwamori, Debaditya Bandyopadhyay, Pengyuan Guo, Christian Tegner, Satoru Haraguchi, IODP Expedition 396 scientists

Journal/Book_names=Abstracts, Japan Geoscience Union Meeting (online)

volume=2024

pages=MGI28-04+G1888

Publish_year=2024

Publisher=Japan Geoscience Union

Language_of_Text=EN

ID=300044882

@id=https://gbank.gsj.jp/ld/resource/geolis/300044882