Fig. 4: Quantification of the benefit provided by the qEHVI algorithm in simulated optimization campaigns. | Nature Communications

Fig. 4: Quantification of the benefit provided by the qEHVI algorithm in simulated optimization campaigns.

From: A self-driving laboratory advances the Pareto front for material properties

Fig. 4: Quantification of the benefit provided by the qEHVI algorithm in simulated optimization campaigns.

a The hypervolumes achieved by the simulated qEHVI and random searches. The median (solid line) and interquartile range (shaded bands) of the results are shown for simulations with and without simulated experimental noise. b The acceleration factors for the qEHVI algorithm relative to random search. The geometric mean is also shown (dashed line). c The enhancement factor for the qEHVI algorithm relative to random search.

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