GD
Geodynamics

Archives / 2026 / January

Understanding geodynamic modelling results through maps of neural networks

Understanding geodynamic modelling results through maps of neural networks

The huge amount of data produced in Geosciences is increasing exponentially, and numerical modelling has become a key tool for understanding tectonic evolution over time, which also increases the volume of data produced. Here, I, João Bueno (PhD student at University of São Paulo, Brazil)  will present how a machine learning technique known as Self-Organising …[Read More]

Mathematical closed-form solutions in Geodynamics: insightful or detrimental?

Mathematical closed-form solutions in Geodynamics: insightful or detrimental?

Mathematics is certainly not every scientist’s cup of tea. Despite the latter, they are, for the most part, very important, since most problems, regardless of their complexity, start and end with a mathematical equation (or set of equations). In this week’s blog, Dimitrios Papadomarkakis (student at the National Technical University of Athens), discusses the subject …[Read More]

Building the Earth in a sandbox

Fentale Volcano

  Building the Earth in a sandbox   The Main Ethiopian Rift stretches for hundreds of kilometers through Ethiopia, a massive fracture where Africa is slowly tearing apart to birth a new ocean. However, the processes driving this continental breakup remain hidden deep beneath layers of volcanic rock and millions of years of geological history. …[Read More]