6 papers
Energy dissipation at the atomic scale explains how fracture energy depends on crack velocity in silica glass
Marthe Grønlie Guren, Sigbjørn Løland Bore, François Renard +1
The fracture energy of brittle materials rises with crack velocity, and this effect is typically attributed to surface roughening from path instabilities. Here we show, using molec…
Why ice is so slippery
Sigbjørn Løland Bore, B. N. J. Persson, Henrik Andersen Sveinsson
We simulate nanoscale ice--glass friction from first principles and upscale it by modeling frictional heating. Nanoscale simulations alone overestimate friction and miss its veloci…
Neural Networks for Predicting Permeability Tensors of 2D Porous Media: Comparison of Convolution- and Transformer-based Architectures
Sigurd Vargdal, Paula Reis, Henrik Andersen Sveinsson +1
Permeability is a central concept in the macroscopic description of flow through porous media, with applications spanning from oil recovery to hydrology. Traditional methods for de…
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…
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…