News 2024
4/17/2024 - Allison publishes her first paper!
Congratulations to Ally, whose first author paper “An assessment of UO2 and ATF concept fuel performance modeling demands against current experimental capabilities under LOCA conditions” has been published in Annals of Nuclear Energy! This work compiles and digitizes all publicly reported data for LOCA testing into a database that will help modeling community to validate their simulations.
4/11/2024 - Congratulations to Ally!
Congratulations to Allison Probert for successfully passing her proposal defense! She has officially advanced into doctoral candidacy.
4/08/2024 - Congratulations to Cade for receiving UNLP scholarship!
Congratulations to our undergraduate student Cade Finney for receiving a prestigious University Nuclear Leadership Program scholarship! Cade is one of 59 students in the US who was awarded the scholarship this year. We are also excited to announce that Bao-Phong Nguyen, an incoming graduate student, received UNLP fellowship!
4/04/2024 - New paper alert
The results of our collaboration with Missouri S&T and INL, “Atom probe tomography of segregation at grain boundaries and gas bubbles in neutron irradiated U-10 wt% Mo fuel”, have been recently published in Materials Letters. Well done, team!
3/27/2024 - Congratulations to Mitch Mika!
Congratulations to Mitch Mika for successfully passing his proposal defense! He has officially advanced into doctoral candidacy!
3/8/2024 - New paper alert
Congratulations to Dr. Kory Burns, group alumni, for publishing a paper on “Deep learning-enabled probing of irradiation-induced defects in time-series micrographs” in APL Machine Learning! The paper uses convolutional neutral networks to evaluate production of defects and quantify defect densities.
3/1/2024 - Congratulations to Brandon Bohanon!
Congratulations to Brandon Bohanon for successfully passing his proposal defense! He has officially advanced into doctoral candidacy!
2/29/2024 - Upcoming talks at the TMS 2024 Annual Meeting
Catch up with our research at the upcoming TMS 2024 Annual Meeting & Exhibition in Orlando (March 3-7):
March 4, 5:30 pm, Hyatt Regency R
Sarah Lantzy, “Exploring stability of WSe2 under heavy ion irradiation”
Mary Sevart, “Utilizing machine learning techniques to correlate constituent redistribution, fission gas bubble structures, and thermal conductivity changes in annular, irradiated U-Zr fuels”
March 5, 3:20 pm, Hyatt Celebration 16
Aaron Rabin, “Decoupling acceleration energy and ion effects in defect production through ion irradiation of substrate supported MoS2”
March 7, 10:45 am, Hyatt Rainbow Spring I
Assel Aitkaliyeva, “Evaluating the strength of TRISO pebbles via drop tests and nondestructive techniques”.
2/2/2024 - Mitch publishes his first paper!
Congratulations to Mitch, whose first author paper “Automating SAED phase identification using ML” has been published in Journal of Materiomics! In this work, we utilize the recent advances in computer vision and machine learning (ML) to automate the indexing of SAED patterns.