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.
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.
February 13 2026
10:00 AM ET
Materials Science and Engineering
Interfacial Fracture in Soft Polymer Networks: Revisiting Gent's Picture, presented by Gabriel Sanoja Lopez, University of Texas, Austin
CUC McConomy Auditorium
February 20 2026
10:00 AM ET
Materials Science and Engineering
High-Fidelity Atomistic Simulations of Chemistry-Microstructure Interactions in Metals, presented by Rodrigo Freitas, Massachusetts Institute of Technology
CUC McConomy Auditorium
February 25 2026
2:00 PM ET
Faculty Insights with Mario Berges
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
February 27 2026
10:00 AM ET
Materials Science and Engineering
presented by Tim Weihs, Johns Hopkins university
CUC McConomy Auditorium
March 13 2026
10:00 AM ET
Materials Science and Engineering
presented by Rachel Goldman, University of Michigan
CUC McConomy Auditorium
March 20 2026
10:00 AM ET
Materials Science and Engineering
Accelerating Battery Materials Discovery with AI- and Physics-Powered Molecular Universe Platform, presented by Yumin Zhang, SES AI
CUC McConomy Auditorium