Design of Experiments for Reverse Engineering Formulations

Discover the full potential of your experiments with this recorded webinar on design of experiments (DOE). This 45-minute session demonstrates applications of DOE methods to responses that are characterized by a curve of correlated response values – even spectra.

We use case studies to explore how to use DOE methods to choose small subsets of trials and how to create models to make powerful predictions. These models can accurately predict the entire NMR or Raman spectra of any of the formulations not used in the experimental design and – given the spectra for a mixture with unknown proportions – the formula for a blend.

Watch the full webinar along with the Q&A at the conclusion of the session.

Tom Donnelly is a Principal Systems Engineer at JMP, where he supports users in the defense and aerospace sectors. He has been actively using and teaching design of experiments (DOE) methods for the past 40 years to speed development and optimization of products, processes, and technologies.

Prior to joining JMP, Donnelly worked as an analyst for the Modeling, Simulation & Analysis Branch of the U.S. Army’s Edgewood Chemical Biological Center. For 20 years, he served as a partner with the first DOE software company to enter the market, teaching more than 300 industrial short courses to engineers and scientists.