Monte Carlo Study on Crystal Growth of BMO-Doped REBCO Films Affected by Growth Conditions

Abstract

This study investigates the formation of BaMO ₃ (BMO) nanostructures in REBa ₂ Cu ₃ O _y (REBCO) thin films using Monte Carlo simulations. We explored the effects of deposition conditions, particularly high deposition rates, on nanostructure morphology. Our simulations demonstrate that straight BMO nanorods can form even under rapid deposition when substrate temperature and BMO content are sufficiently high. We employed Bayesian optimization to refine simulation parameters, improving the agreement between simulated and experimental crystal grain densities. While full concordance was not achieved, this approach shows promise for future refinements. Our findings provide insights into artificial pinning center design in REBCO superconducting wires and underscore the potential of combining simulation and optimization techniques in materials science research.