Nanofluidics and Lab-on-a-Chip Devices
Bayesian optimization is a statistical technique used for optimizing complex functions that are expensive to evaluate. It is particularly useful in situations where the objective function is unknown or costly to compute, and it employs a probabilistic model to predict the performance of different designs or parameters based on previously evaluated points. This approach allows for efficient exploration of the design space, making it valuable in applications such as design optimization and performance analysis using simulations.
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