Gaining Insight into Diverse Chemical Challenges with Designed Experiments
Designed Experiments (DOEs) are the most efficient way to learn about a system. So, why isn’t everybody using DOE? Common responses to this question are “I first want to get a feel for this system” or “it wouldn’t work in this situation”. If this is something that you have heard, or tell yourself, join the experts from JMP to learn how DOE has evolved to allow for custom experiments that can unlock insights into complex systems.
DOE is a structured approach to study the relationships between multiple input factors and key outputs. This sounds like something any scientist would want to use, but most experimental approaches explore one-factor-at-a-time. This method appears structured but often results in not finding true relations between variables or misleading results.
During the session, learn how DOE successfully overcame several diverse chemical industry situations that resulted in time and resource savings, scientific breakthroughs, and financial benefits.
Key Learning Objectives:
- Screening designs for understanding complex polymerization kinetics
- Specialized designs for evaluating raw materials used in consumer product formulations
- DOEs that optimize pharmaceutical and resin formulations
- A new class of Designs that can optimize chromatography method development
Who Should Attend:
- Product developers
- R&D leaders
- Scientists and Engineers
- Formulation chemists
- Process engineers
- Analytical chemists
Brought to you by:
Speakers:
Systems Engineer
JMP Statistical Discovery
Senior Systems Engineer
JMP Statistical Discovery
Forensic Science Consultant,
C&EN Media Group
Will you be attending?
Starts:
Tue, May 21, 2024 02:00 PM EDT
Ends:
Tue, May 21, 2024 03:00 PM EDT
<a href='https://connect.discoveracs.org/CENWebinar_JMPStatisticalDiscovery_5_21_24?partnerref=WebinarsHub'>Register</a>
