One may set the MultiFidelityPlanner's current ask fidelity attribute by calling the set ask fidelity method and specifying the desired level. Atlas employs constrained acquisition function optimization to deliver the desired parameter recommendations. The following code snippet revistits the HOIP example and assumes the researcher desires to alternate between low-and high-fidelity measurements. The ratio of low-to high-fidelity measurements is set to 8:1 for the MultiFidelityPlanner. On average, the GPPlanner achieves the lowest high-fidelity bandgap with a cost of 13.9 ± 0.56 a.u., while the MultiFidelityPlanner achives this with a cost of only 9.6 ± 0.35 a.u. These results demonstrate the ability of multi-fidelity BO strategies to leverage inexpensive measurements to augment cost-effective optimization of resource-intensive objectives in SDLs.