4 papers
Why ice is so slippery
Sigbjørn Løland Bore, Sigbjørn Løland Bore, B. N. J. Persson +1
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…
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…
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…
DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
Jinzhe Zeng, Duo Zhang, Anyang Peng +44
In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for m…