Recorded: Wed, 3/26/20 @ 10:00a Pacific
About this Webinar
In many materials development projects, scientists and research heads make decisions to guide the project direction. For example, scientists may decide which processing steps to use, what elements to include in their material selection, or from what suppliers to source their materials. Often these decisions are complicated by trade-offs in performance between competing properties. In this webinar, we’ll learn techniques for visualizing and assessing how R&D decisions affect tradeoffs in performance using machine learning models.