48 citations · 77 across the 6 of their papers we have counts for
3 papers · 1 filter
A Self-Evolving Machine-Learning-Based Kinetic Monte Carlo Method for Modelling Thin-Film Growth
Jyri Kimari, Flyura Djurabekova, Kostas Sarakinos
We present a kinetic Monte Carlo (KMC) simulation framework parameterized by automatically sampling machine-learning (ML) for modeling thin-film growth atom by atom. Given an inter…
Effect of surface orientation on blistering of copper under high fluence keV hydrogen ion irradiation
A. Lopez-Cazalilla, C. Serafim, J. Kimari +6
Copper and hydrogen are among the most common elements that are widely used in industrial and fundamental research applications. Copper surfaces are often exposed to hydrogen in th…
Biased self-diffusion on Cu surface due to electric field gradients
Jyri Kimari, Ye Wang, Andreas Kyritsakis +2
Under strong electric fields, an arc of strong current flowing through plasma can link two metal surfaces even in ultra high vacuum. Despite decades of research, the chain of event…