Discovering Optimal Reaction Conditions via High-Throughput Experimentation


  • Date
    March 7, 2019
  • Time
    8:00 a.m. PST / 11:00 a.m. EST / 16:00 GMT / 17:00 CET - Duration: 60 Minutes

Date : March 7, 2019
Time : 8:00 a.m. PST / 11:00 a.m. EST / 16:00 GMT / 17:00 CET - Duration: 60 Minutes
  • Overview

    High throughput experimentation (HTE) is an indispensable tool for the discovery and optimization of chemical reactions. The integration of automated technologies with expert knowledge and data science allows for scientists to maximize experimental efficiency for the rapid identification of critical class variables through HTE. Namely, the class variables represent the discrete entities of a reaction such as the type of catalyst or reagent, additives, and solvent that are critical to reaction performance. The prompt identification of key class variables accelerates the deployment of newly discovered reactions and subsequent optimization. In this webinar, our speaker Jason Stevens from Bristol-Myers Squibb will discuss several examples for the design, execution and analysis of class variable studies through the use of laboratory automation.

    Brought to you by:


    Unchained Labs

  • Speakers

    Jason Stevens,
    Senior Research Investigator,
    Bristol-Myers Squibb
    Samantha H. Jones, Ph.D.,
    Assistant editor,
    C&EN