Iterative Experimental Design

The interplay of experimental studies with ML methods such as high-throughput optimization lead to a rapid optimization of reactions. C-CAS develops a range of easy-to-use tools such as the EDBO+ optimizer to maximize the information content in experimental design

Publications

• Shen, Y., Borowski, J., Hardy, M., Sarpong, R. Doyle, A., Cernak, T. Automation and computer-assisted planning for chemical synthesis. Nat Rev Methods Primers, 2021, 23, 1.    https://www.nature.com/articles/s43586-021-00022-5

• Shields, B.J. ; Stevens, J.; Li, J.; Prarasram, M.; Damani, F.; Martinez Alvaro, J., Janey, J. Adams, R.P., Doyle, A. Bayesian Reaction Optimization as A Tool for Chemical Synthesis. Nature 2021, 590, 89-96.  https://www.nature.com/articles/s41586-021-03213-y

• Romer, N.P., Min, D.S., Wang, J.Y., Walroth, R.C., Mack, K.A., Sirois, L.E., Gosselin, F., Zell, D., Doyle, A.G. and Sigman, M.S., 2024. Data Science Guided Multiobjective Optimization of a Stereoconvergent Nickel-Catalyzed Reduction of Enol Tosylates to Access Trisubstituted Alkenes. ACS Catalysis, 14, pp.4699-4708

• Raghavan, P.; Haas, B.C.; Ruos, M.E.; Schleinitz, J.; Doyle, A.G.; Reisman, S.E.; Sigman, M.S.; Coley, C.W.  Dataset Design for Building Models of Chemical Reactivity. ACS Cent. Sci 2023, 9, ASAP https://doi.org/10.1021/acscentsci.3c01163
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  

• Wang JY, Stevens JM, Kariofillis SK, Tom MJ, Golden DL, Li J, Tabora JE, Parasram M, Shields BJ, Primer DN, Hao B. Identifying general reaction conditions by bandit optimization. Nature. 2024, 626, 1025-1033  https://doi.org/10.1038/s41586-024-07021-y