Open AccessTackling 21st Century Geoscience Problems with Machine Learning
Author(s) -
Andrew Curtis,
Daniel O’Malley,
Gregory C. Beroza,
Paul Johnson,
Elita Li,
Eldad Haber
Publication year - 2020
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2020eo150184
Subject(s) - astrobiology , earth science , data science , computer science , geology , physics
A new cross-journal special collection invites contributions on how machine learning can be used for solid Earth observation, modeling and understanding.