_____ Brought to you by Unchained Labs _____
Discovering Optimal Reaction Conditions via High-Throughput Experimentation
March 7, 2019
8:00 a.m. PST / 11:00 a.m. EST / 16:00 GMT / 17:00 CET
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:
- Learn how to apply lab automation to high throughput experimentation
- Integrate data science into reaction discovery and optimization
- Optimize reaction conditions by efficiently studying discrete reaction entities.
- Researchers / R&D Managers
- Laboratory Managers /
Directors / Supervisors
- Laboratory Technicians / Operators
Senior Research Investigator,
Samantha H. Jones, Ph.D.,