Bayesian optimization (BO) can help determine the optimal deposition conditions for high-performance passivation films in solar cells. However, simple implementations tend to suggest excessively thick films or infeasible deposition conditions. Recently, researchers from Japan developed a novel constrained BO scheme that combines several prediction models to restrict suggested deposition conditions to realistic values. Their strategy could help minimize trial and error and improve material performance in various fields.