2 papers
cond-mat.mtrl-sci2025
Predicting Friction under Vastly Different Lubrication Scenarios
Yulong Li, Peter Gumbsch, Christian Greiner
Friction is ubiquitous in daily life, from nanoscale machines to large engineering components. By probing the intricate interplay between system parameters and frictional behavior,…
cond-mat.soft2025
Active learning for parameter-free multiscale modeling of boundary lubrication
Hannes Holey, Peter Gumbsch, Lars Pastewka
Lubricated friction is a multiscale problem where molecular processes dictate the macroscopic response of the system. Traditional lubrication models rely on semi-empirical constitu…