Modelling subsurface processes across scales
As the global transition to clean energy accelerates, demand for critical minerals like indium is rising. This has sparked renewed […]
Mathematical geophysics is an inherently interdisciplinary field that blends physics and mathematics with other disciplines such as geology and hydrology […]
Machine Learning – especially through Generative Adversarial Networks (GANs) – has brought transformative advancements to Super-Resolution (SR) techniques. Despite these […]
Reconciling models and data
Machine learning not only offers novel avenues to accelerate forward modelling of complex geological scenarios but also to infer models […]
An enormous opportunity exits around developing methods to infer processes from geodata…
