As a result of Earth’s mantle convection, rocks in the earth’s interior flow and develop a crystallographic texture. These textures reveal the planet’s thermal and tectonic history and are responsible for the viscous anisotropy, which can be used to study the planet’s deeper recesses that are not visible through other means. This necessitates the use of models that can pred ...[Read More]
Rendering tools for Geodynamics and Surface Modeling
Physics-Based Machine Learning – Curse or Blessing?
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]
Going to the mountains is going home
Geoscientists explore the nature from a different perspective than the commoners. In this week’s blog, Stephanie Sparks from Arizona State University shares her story how her passion for mountains gradually became her profession. Her journey through different regions in Himalaya leads her to understand the exhumation rate and the underlying geodynamic processes behind the formation of world’s high ...[Read More]