The MRS Communications Lecture Award recognizes excellence in the field of materials research through work published in MRS Communications. It honors the authors of an outstanding paper published in the journal during the award year.
Grace X. Gu, University of California, Berkeley, will speak on the use of advanced computational analysis, machine learning and topology optimization to revolutionize the field of smart additive manufacturing.
Machine learning (ML) has been perceived as a promising tool for the design and discovery of novel materials for a broad range of applications. Gu will summarize recent progress in the applications of ML to composite materials modeling and design, including an overview of how different types of ML algorithms can be applied to accelerate composite research. This framework is envisioned to revolutionize approaches to design and optimize composites for the next generation of materials with unprecedented properties.