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High Throughput Strategies for the Discovery and Optimization of Catalytic Reactions.

Eric S IsbrandtRyan J SullivanStephen G Newman
Published in: Angewandte Chemie (International ed. in English) (2019)
Homogeneous catalysis has provided chemists with numerous transformations to enable rapid construction of organic molecules. However, these reactions are complex, requiring multiple substrate-dependent mechanistic steps to operate in harmony under a single set of experimental conditions. As a consequence, synthetic chemists often carry out laborious, empirical screening to identify suitable catalysts, solvents, and additives to achieve high yields and selectivity. In this Minireview, recently developed tools, technologies, and strategies will be described that improve this development process. In particular, the application of high throughput techniques to run more experiments, experimental design principles to access better data, and statistical tools to provide predictive models will be discussed.
Keyphrases
  • high throughput
  • single cell
  • ionic liquid
  • electronic health record
  • structural basis
  • small molecule
  • highly efficient
  • machine learning
  • data analysis
  • amino acid
  • quantum dots