Active Learning for Tractable and Reproducible Pulsed Laser Deposition
This paper demonstrates that an active learning framework based on Gaussian process Bayesian optimization can efficiently optimize the pulsed laser deposition of LaVO to produce high-quality, phase-pure films while simultaneously revealing fundamental insights into the non-equilibrium defect formation mechanisms governing complex oxide growth.