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Geodynamics

Geodynamics

Fault characteristics, how close is close enough?

Fault characteristics, how close is close enough?

Have you ever wondered what common thing connects fault surfaces and their characteristics with your… squeezy sneakers on a wet surface or the required frequent change of your car tyres? Well, the answer is simple. The fundamental principles of stress and friction can significantly cause this behaviour in our everyday lives. However, these two factors can also be responsible for the slip behaviour ...[Read More]

The courage to be disliked: reflections on peer-review processes

The courage to be disliked: reflections on peer-review processes

Although often daunting and discouraging, every academic must navigate the inevitable process of peer review. In this week’s post, Jean-Baptiste Koehl, postdoctoral researcher at the University of Oslo (Norway), reflects on what the future of peer review might be. Author disclaimer: The reflections presented here reflect my perspective grounded in my own experience. While peer review is a key mech ...[Read More]

The Sassy scientist – How I became 10x efficient with this simple trick?

The Sassy scientist – How I became 10x efficient with this simple trick?

Snowy days are here! Between two slides and snow ball (kind and consented) fights with colleagues, let’s see what’s in my mailbox… Well, this one is pretty topical, let’s go! Dear Sassy scientist, I think I lost all motivation for research but I need to work! What do I do? Please help me! My sweet cute pie, Let me ask you a quick question, when was the last time you took va ...[Read More]

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 Maps can be used to understand the int ...[Read More]