Insights on source lithology and pressure-temperature conditions of basalt generation using machine learning

Insights on source lithology and pressure-temperature conditions of basalt generation using machine learning

Identifying the origin and conditions of basalt generation is a crucial yet formidable task. To tackle this challenge, we introduce an innovative approach leveraging machine learning. Our methodology relies on a comprehensive database of approximately one thousand major element concentrations derive...

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Bibliographic Details
Main Authors:	Cheng, Lilu, Yang, Zongfeng, Costa, Fidel
Other Authors:	Asian School of the Environment
Format:	Journal Article
Language:	English
Published:	2024
Subjects:	Earth and Environmental Sciences Lithology Machine learning
Online Access:	https://hdl.handle.net/10356/181733

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