Flow electrosynthesis has attracted increasing attention as a green and sustainable manufacturing method. However, it is still a challenging undertaking to determine the appropriate experimental ...

In this tutorial, we look at the design of spidr's Bayesian optimization functionality - functionality that uses historic data to optimize a black-box objective function. Techniques such as stochastic ...

Abstract: Bayesian optimization (BO) is a framework for global optimization of expensive-to-evaluate objective functions. Classical BO methods assume that the objective function is a black box.

This code demonstrates the use of Bayesian optimization to approximate the optimal solution of a black box system using surrogate models. Bayesian optimization is an efficient technique for optimizing ...

1 Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom 2 Department of Neuroimaging, ...