2 papers
cond-mat.mtrl-sci2026
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…
cond-mat.mtrl-sci2025
Nanoscale structure formation in nickel-aluminum alloys synthesized far from equilibrium
Zhehao Chen, Aslak J J Fellman, Katarzyna Mulewska +9
The present study reports on the structure formation in thin epitaxial nickel-aluminum films (Ni1-xAlx; Al atomic fraction x up to x=0.24) grown on MgO(001) substrates by magnetron…