Projects per year
Overview
Education/Academic qualification
Sci-Materials Sci, Doctorate Degree
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- 1 Similar Profiles
Projects
- 3 Active
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Improving Reliability of Novel TRISO Fuel Forms for Advanced Reactors via Multiscale, High-Throughput Characterization and Modeling
Munro, T. T. (PI), Johnson, O. O. (CoPI), Gerczak, T. (CoPI) & Brown, D. D. (CoPI)
Nuclear Energy University Program
01/1/23 → …
Project: Research
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Statistical modeling of the effect of microstructural heterogeneity on the irradiation behavior of TRISO fuel buffer layer
Zhang, Y. Y. (PI), Thevamaran, R. (CoPI), Sridharan, K. K. (CoPI), Ahmed, K. K. (CoPI), Gerczak, T. (CoPI), Jiang, W. W. (CoPI), Labrier, D. D. (CoPI) & Gougar, M. L. D. M. L. D. (CoPI)
Nuclear Energy University Program
01/1/20 → …
Project: Research
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High Power Irradiation Testing of TRISO Fuel Particles with UCO and UO2 Kernels in Miniature Fuel Specimen Capsules in HFIR
Latta, R. (PI), Hackett, M. (CoPI), Collin, B. (CoPI), Brown, N. R. (CoPI), Gerczak, T. (CoPI), Petrie, C. (CoPI), Hunn, J. (CoPI) & Helmreich, G. (CoPI)
Nuclear Energy University Program
01/1/19 → …
Project: Research
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Identifying microstructures susceptible to pulverization in commercially irradiated high burnup UO2 under LOCA conditions
McKinney, C., Seibert, R., Werden, J., Parish, C., Gerczak, T., Harp, J. & Capps, N., Sep 2026, In: Journal of Nuclear Materials. 631, 156853.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Methods development towards automated, physics-informed, quantitative quality control of TRISO-Sic
Conry, B., Helmreich, G. W. & Gerczak, T. J., May 2026, In: Journal of Nuclear Materials. 626, 156591.Research output: Contribution to journal › Article › peer-review
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Stoichiometric effects on grain growth in zirconium carbide coatings for high-temperature nuclear fuel
Montoya, K. I., Conry, B., Jones, J. W., Heldt, R., Gerczak, T. J. & Honorato, E. L., Oct 2026, In: Journal of Nuclear Materials. 632, 156852.Research output: Contribution to journal › Article › peer-review
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A Machine Learning Approach Toward Improving QA/QC of Coated Particle Fuels
Conry, B., Helmreich, G. & Gerczak, T., 2025, Proceedings of the TopFuel 2025: Nuclear Reactor Fuel Performance Conference. American Nuclear Society, p. 971-980 10 p. (Proceedings of the TopFuel 2025: Nuclear Reactor Fuel Performance Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Analysis of Fission Product Release from Furnace-Tested TRISO Particles
Schappel, D., Hooghkirk, M., Trewhitt, S., Skitt, D., Cureton, W. & Gerczak, T., 2025, United StatesResearch output: Other contribution › Technical Report