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

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

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...