Special Seminar
March 13, 2025
3:30 p.m. ET
Mehl Room - 2327 Wean
March 13, 2025
3:30 p.m. ET
Mehl Room - 2327 Wean
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.
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.
April 11 2025
10:00 AM ET
Materials Science and Engineering
The Green Steel Revolution, presented by Sara Hornby-Anderson
McConomy Auditorium, First Floor Cohon University Center
April 18 2025
10:00 AM ET
Materials Science and Engineering
presented by Robert Macfarlane, Massachusetts Institute of Technology
McConomy Auditorium, First Floor Cohon University Center
April 25 2025
10:00 AM ET
Materials Science and Engineering
Oxide Dispersion Strengthening via Additive Processing: A Revolutionary New Approach for High Temperature Alloys, presented by Michael J. Mills, The Ohio State University
McConomy Auditorium, First Floor Cohon University Center