GD
Geodynamics

edited by Lorenzo Mantiloni

Lorenzo is a Postdoctoral Research Fellow at the University of Exeter, UK. His research interests focus on the dynamics and stability of magma mush reservoirs, as well as numerical and analogue modelling of crustal stress and pathways of magmatic dykes. He joined the GD blog team as an editor in 2023. You can reach out to him at l.mantiloni@exeter.ac.uk.

Exploring the Evolution of Rift Magmatism through Numerical Modelling

and June 5, 2024
Exploring the Evolution of Rift Magmatism through Numerical Modelling
A view of the volcanoes of Chaîne des Puys in Auvergne, France, associated to the Limagne Graben. Credit: Alpha du centaure (https://www.flickr.com/photos/alphaducentaure/11912337466/) / Wikipedia, CC BY-2.0

Continental rifts are a striking manifestation of the forces at work in the Earth’s interior and are often associated with volcanic activity. Contrary to intuition, volcanism is not confined to rift grabens, but migrates as the rifts evolve. How and why this happens is still not clear. This week, Gaetano Ferrante from Rice University, Houston (USA) will share his research with us, showing ho ...[Read More]

Equilibrium Crustal Thickness and Dynamics of Earth’s Lithosphere: The Answer is 42.

and March 13, 2024
Equilibrium Crustal Thickness and Dynamics of Earth’s Lithosphere: The Answer is 42.
There really is an answer, and now there is a question too - just deep below us rather than above. But then again, aren't up and down just conventions? Figure courtesy: Emily Hinshaw.

“The Hitchhiker’s Guide to the Galaxy” had the answer; we think we have the right question. This week, Ajay Kumar from IISER Pune, India, will take us on a journey to the depths of the Earth’s lithosphere – a world as mysterious as the farthest reaches of the Universe. We will see what the thickness of the Earth’s crust can tell us about the balance between the ...[Read More]

Physics-Based Machine Learning – Curse or Blessing?

and August 16, 2023
Physics-Based Machine Learning – Curse or Blessing?
AI-generated Earth (created with craiyon.com)

The advance of Artificial Intelligence is impacting all spheres of human activity, and Geosciences are no exception. In this week’s post, Denise Degen from RWTH Aachen University, Germany, gives us a glimpse of what this means for Geodynamics. Discussing the advantages and caveats of different approaches, she shows how physics-based Machine Learning may help us investigating and understanding comp ...[Read More]