Using Machine Learning to Optimize the Properties of 3D Printed Composites

On this episode, Dr. Rigoberto Advincula joins me on the podcast to discuss some of their work research on using image-driven machine learning (ML) to optimize the thermo-mechanical properties of 3D Printed Composites.  Dr. Advincula is a Governor’s Chair Professor at Oak Ridge National Laboratory (ORNL) and the University of Tennessee. He is the Group Leader of the Macromolecular Nanomaterials Group at the Center for Nanophase Materials Sciences(CNMS), ORNL. He was a Full Professor (now Adjunct) at Case Western Reserve University.  He is passionate about teaching young minds in science and engineering careers. He’s trained over 92 Ph.D./ MS graduate students, 20 Post-docs, 150 undergraduates, and 80 high school students in his group.  You can read more by visiting https://www.sciencedirect.com/science/article/abs/pii/S1359836823004614?dgcid=coauthor.  The post Using Machine Learning to Optimize the Properties of 3D Printed Composites first appeared on Composites Weekly.The post Using Machine Learning to Optimize the Properties of 3D Printed Composites appeared first on Composites Weekly.