April 22, 2024
Congratulation to Allison Probert for publishing her first journal paper titled “An assessment of UO2 and ATF concept fuel performance modeling demands against current experimental capabilities under LOCA conditions” in Annals of Nuclear Energy.
April 11, 2024
Congratulation to Allison Probert for successfully passing her proposal defense! Way to go Ali!
December 12, 2023
Congratulation to Joel Latimer for receiving an NRC Fellowship!
November 2, 2023
Congratulation to Aidan Furlong for publishing his first journal paper titled “Investigation of Monte Carlo trained CNNs for Neutronics Predictions of Typical and Atypical PWR Assemblies.”
May 27, 2023
Congratulation to Allison Prober for receiving an UNLP Fellowship!
May 26, 2023
Congratulation to Jeremy Smith for successfully defending his Ph.D. research proposal. He is now a nuclear engineering Ph.D. candidate.
June 27, 2022
Members of FAMMoS (Justin Watson and Allison Probert) visit INL to tour facilities and meet with INL scientists to discuss collaborative research topics. Special guest Jeremy Smith from the Tonks Research group also attended the BISON training at INL.
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May 18, 2022
Aidan Furlong presented his paper titled “Using Neural Networks to Predict Pin Powers in Reflective PWR Fuel Assemblies with Varying Pin Size” at the International Conference on Physics of Reactors 2022 (PHYSOR 2022)in Pittsburgh Pa.
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March 29, 2022
Congratulations to Aidan Furlong for getting his paper titled “Using Neural Networks to Predict Pin Powers in Reflective PWR Fuel Assemblies with Varying Pin Size” accepted to the International Conference on Physics of Reactors 2022 (PHYSOR 2022) being held in Pittsburgh Pa.
June 10, 2021
Congratulations to Dr. Forrest Shriver for being named one of 6 ORNL Innovation Crossroads fellows. Forrest Shriver is the first PhD student to graduate from the FAMMoS research group at UF. More information on the ORNL Innovation Crossroads Cohort 5 can be found here (Cohort 5 | Innovation Crossroads (ornl.gov))
June 1, 2021
Congratulations to Zhuang Wu for earning a Great Teaching Certificate (TA Edition) through the Center for Teaching Excellence Passport to Great Teaching Program.
April 22, 2021
Congratulations to Dr. Shriver!!!! He successfully defended his Ph.D. dissertation today titled “Prediction of High-fidelity Neutronics Parameters in Pressurized Water Reactors using Deep Learning”
April 10, 2021
Aidan Furlong presented his paper titled “Application of LatticeNet Deep Learning Architecture on Neurtronics Predictions Using OpenMC” at the 2021 ANS Student Conference!
November 19, 2020
Good Luck Forrest Shriver!!!! He is pitching his Ph.D. at the ANS national winter meeting today at 2:30 pm. His Ph.D. is titled “Prediction of high-fidelity neutronics parameters in pressurized water reactors using Artificial Neural Networks”.
November 17, 2020
Forrest Shriver submitted his poster titled “Computational performance of deep learning models for predicting reactor parameters” at the ANS national winter meeting.
November 13, 2020
Forrest Shriver’s first journal publication titled “Prediction of Neutronics Parameters within a 2D Reflective PWR Assembly Using Deep Learning” was accepted for publication in Nuclear Science and Engineering. Congratulations Forrest!
July 9, 2020
Zhuang Wu successfully passed her proposal defense!
August 29, 2019
VEXS has been released to the public on github https://github.com/fshriver/VEXS/
August 25,2019
Forrest Shriver is presenting his paper titled “VEXS, An Open Platform for the Study of Continuous-Energy Cross-Section Lookup Algorithms on GPUs” at Mathematics and Computational Methods 2019 in Portland Oregon.