This is a webinar event.
Speaker: Chris Borg, Research Scientist at Citrine Informatics
Title: Data-driven Materials Design and the Impact of Data Quality
Abstract: While there has been much interest in utilizing machine learning models for materials discovery, less attention has been paid to quality of data that comprises such models. As the tools for generating materials databases improves, so must the tools that evaluate their quality. As part of Citrine’s external research programs, we focus on developing end-to-end pipelines that improve data quality resulting in high-performing and interpretable machine learning models. This talk will share some of our recent successes in this area along with a general perspective of how Citrine approaches materials design.
Bio: Chris is a research scientist at Citrine Informatics. Since joining Citrine in 2016, he has led many projects focused on applying statistical modeling to materials development. Additionally, Chris and Citrine have developed programs that train undergraduates and graduate students in data management and data science for materials science. Before Citrine, Chris completed a Master’s in Chemistry at the University of Maryland studying magnetism in materials. Most recently, he co-led a study on uncertainty quantification of high-throughput DFT databases. Read more about that study here: https://citrine.io/quantifying-uncertainties-in-the-materials-digital-twin/
Seminar Host: Steve Martin
Zoom Link: https://iastate.zoom.us/j/97633817301