Jason Y Wang, Jason M Stevens, Stavros K Kariofillis, Mai-Jan Tom, Dung L Golden, Jun Li, Jose E Tabora, Marvin Parasram, Benjamin J Shields, David N Primer, Bo Hao, David Del Valle, Stacey DiSomma, Ariel Furman, G Greg Zipp, Sergey Melnikov, James Paulson, Abigail G Doyle
Reaction conditions that are generally applicable to a wide variety of substrates are highly desired, especially in the pharmaceutical and chemical industries1-6 . Although many approaches are available to evaluate the general applicability of developed conditions, a universal approach to efficiently discover these conditions during optimizations is rare. Here we report the design, implementation and application of reinforcement learning bandit optimization models7-10 to identify generally applicable conditions by efficient condition sampling and evaluation of experimental feedback...
February 2024: Nature