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D. O'Malley

Orcid ID: 0000-0003-0432-3088
Associate Editor, JGR: Solid Earth

Two images comparing a high-resolution pore network in rock and a reconstruction of the same by the machine learning model.
Posted inEditors' Highlights

Reconstructing Rocks with Machine Learning

by D. O'Malley 12 July 20213 October 2022

Machine learning can be used to accurately reconstruct high-resolution, 3D images of rocks from 2D cross-sections, which opens the door to more detailed simulations.

Artistic impression of artificial intelligence
Posted inEditors' Vox

Tackling 21st Century Geoscience Problems with Machine Learning

by A. Curtis, D. O'Malley, G. C. Beroza, P. A. Johnson and E. Li 7 October 202013 October 2021

A new cross-journal special collection invites contributions on how machine learning can be used for solid Earth observation, modeling and understanding.

A view of a Washington, D.C., skyline from the Potomac River at night. The Lincoln Memorial (at left) and the Washington Monument (at right) are lit against a purple sky. Over the water of the Potomac appear the text “#AGU24 coverage from Eos.”

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