Bayesian optimization with known experimental and design constraints for chemistry applications

Riley J. Hickman, Matteo Aldeghi, Florian Häse +1

Optimization strategies driven by machine learning, such as Bayesian optimization, are being explored across experimental sciences as an efficient alternative to traditional design…