Special Seminar
March 13, 2025
3:30 p.m. ET
Mehl Room - 2327 Wean
MaterialEyes - Seeing the Invisible using Experiment, Theory and AI
In the development of materials for realistic applications, the detection and understanding of atomic and electronic structures, especially of defects, interfaces, and nanostructures, is paramount. Advances characterization via electron, x-ray, and atom probes, in imaging, scattering, and spectroscopic modes, have brought us closer to such detection and understanding. However, such experimental data is often difficult to parse and relate to fundamental understanding of mechanisms and behavior at the atomic level. In this talk, I will discuss our efforts in MaterialEyes to use AI/ML and theoretical modeling to enable the seeing of atomic structures from experimental characterization data. I will also discuss our work in using AI to extract and use microscopy and spectroscopy data from scientific literature, and in developing data standards for materials science.
Maria Chan, Center for Nanoscale Materials at Argonne National Laboratory
Chan studies nanomaterials and renewable energy materials, including solar cells, batteries, thermoelectrics, and catalysts. Her particular focus is on using artificial intelligence/machine learning (AI/ML) for interfacing modeling with x-ray, electron, and scanning probe characterization and for efficient materials property prediction.
Upcoming Events
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May 1 2025
3:00 PM ET
Materials Science and Engineering
"Investigating the Surface and the Defect Structures of Laser Powder Bed Fusion Haynes 282 with Complex Geometry" presented by Junwon Seo
6142 Scott Hall
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May 7 2025
3:00 PM ET
Faculty Insights with Erica Fuchs
Please join us for CMU Engineering's virtual program, "Faculty Insights: A 20 Minute Briefing." In this series, faculty will share insights into their research, its impact, and provide perspective for the future of the field.
Virtual, link provided to registrants