59 citations · 120 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning atomic forces from uncertainty-calibrated adversarial attacks
Henrique Musseli Cezar, Tilmann Bodenstein, Henrik Andersen Sveinsson +3
Adversarial approaches, which intentionally challenge machine learning models by generating difficult examples, are increasingly being adopted to improve machine learning interatom…
Tailoring Frictional Properties of Surfaces Using Diffusion Models
Even Marius Nordhagen, Henrik Andersen Sveinsson, Anders Malthe-Sørenssen
This Letter introduces an approach for precisely designing surface friction properties using a conditional generative machine learning model, specifically a diffusion denoising pro…
Diffusion-driven frictional aging in silicon carbide
Even Marius Nordhagen, Henrik Andersen Sveinsson, Anders Malthe-Sørenssen
Friction is the force resisting relative motion of objects. The force depends on material properties, loading conditions and external factors such as temperature and humidity, but…
A minimal model for slow, sub-Rayleigh, super-shear and unsteady rupture propagation along homogeneously loaded frictional interfaces
Kjetil Thøgersen, Henrik Andersen Sveinsson, David Skålid Amundsen +3
In nature and experiments, a large variety of rupture speeds and front modes along frictional interfaces are observed. Here, we introduce a minimal model for the rupture of homogen…