Research Seminars @ Illinois

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Tailored for undergraduate researchers, this calendar is a curated list of research seminars at the University of Illinois. Explore the diverse world of research and expand your knowledge through engaging sessions designed to inspire and enlighten.

To have your events added or removed from this calendar, please contact OUR at ugresearch@illinois.edu

Hassel and Marianne Ledbetter MatSE Colloquium - "Multi-scale simulations of electron dynamics in materials under light-ion irradiation"

Event Type
Seminar/Symposium
Sponsor
Materials Science and Engineering Department
Location
100 Materials Science and Engineering Building, 1304 W. Green Street
Date
Aug 26, 2024   4:00 pm  
Speaker
Prof. Andre Schliefe
Contact
Bailey Peters
E-Mail
bnpeters@illinois.edu
Phone
217-333-1441
Views
160
Originating Calendar
MatSE Colloquium Calendar

Multi-scale simulations of electron dynamics in materials under light-ion irradiation

Developing accurate models of material responses to intense radiation is crucial for creating radiation-resistant materials and precise materials manipulation at the atomic level, including in the excited electronic state. These models must account for rapid quantum interactions immediately post-irradiation, linking initial excited states to longer-term effects. My group’s work on describing such processes from first principles, with a particular focus on graphene, demonstrates that lattice temperature can significantly increase secondary electron emission compared to electronic heat. Our research points to very short emission pulses, offering tight temporal probing capabilities, and we explicitly simulate helium ion microscopy data. Additionally, we are generalizing our approach towards cost-effective computational modeling of electronic stopping as ions travel through materials. With little loss of accuracy, we train a machine learning model on high-fidelity quantum mechanical simulation data of electronic stopping. With this approach we aim for multi-scale ion beam modification modeling and show that the million-fold reduced computational cost allows for first-principles Bragg peak simulations.

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