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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June 18 2025
12:30 PM ET
Materials Science and Engineering
"Characterizing Direct Reduction of Iron and Resultant Mechanical Properties" presented by Grant Kenny
Scott Hall 6124
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July 8 2025
1:00 PM ET
Materials Science and Engineering
"Uncovering the Driving Force of Thermal-Activated Grain Boundary Migration in Polycrystals," presented by Zipeng Xu
Doherty A310
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July 29 2025
11:00 AM ET
Materials Science and Engineering
Graduate Programs Information Session
Learn more about the master's and doctoral programs in materials science and engineering at CMU.