If you made any changes in Pure, your changes will be visible here soon.

Personal profile

Education

  • PhD, Nuclear Engineering, University of Wisconsin - Madison, 2013
  • BA, Physics, University of Chicago, 2008

Research Interests

  • Scientific computing education
  • Repository system performance modeling
  • Open & reproducible scientific computing
  • Computational methods for optimization and prediction
  • Coupled multi-physics simulation
  • Reactor neutronics and kinetics
  • Nuclear fuel cycle simulation
  • Advanced nuclear reactor modeling and simulation

Teaching

  • NPRE412, Fall 2016

Keywords

  • TK Electrical engineering. Electronics Nuclear engineering
  • QC Physics
  • QA76 Computer software

Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 4 Similar Profiles
Nuclear fuels Engineering & Materials Science
High temperature reactors Engineering & Materials Science
Salts Engineering & Materials Science
Thorium Engineering & Materials Science
Simulators Engineering & Materials Science
Nuclear engineering Engineering & Materials Science
Breeder reactors Engineering & Materials Science
Spent fuels Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2008 2020

Deep learning approach to nuclear fuel transmutation in a fuel cycle simulator

Bae, J. W., Rykhlevskii, A., Chee, G. & Huff, K. D., May 2020, In : Annals of Nuclear Energy. 139, 107230.

Research output: Contribution to journalArticle

Nuclear fuels
Simulators
Pressurized water reactors
Neural networks
Deep learning

Fuel cycle performance of fast spectrum molten salt reactor designs

Rykhlevskii, A., Betzler, B. R., Worrall, A. & Huff, K., Jan 1 2019, International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019. American Nuclear Society, p. 342-353 12 p. (International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Salt
Reactor
Cycle
Unit
Cell

Modeling and simulation of online reprocessing in the thorium-fueled molten salt breeder reactor

Rykhlevskii, A., Bae, J. W. & Huff, K. D., Jun 2019, In : Annals of Nuclear Energy. 128, p. 366-379 14 p.

Research output: Contribution to journalArticle

Breeder reactors
Thorium
Molten materials
Salts
Nuclear fuel reprocessing

Standardized verification of the CYCLUS fuel cycle simulator

Bae, J. W., Peterson-Droogh, J. L. & Huff, K. D., Jun 2019, In : Annals of Nuclear Energy. 128, p. 288-291 4 p.

Research output: Contribution to journalArticle

Nuclear fuels
Simulators
Specifications

Synergistic spent nuclear fuel dynamics within the European Union

Bae, J. W., Singer, C. E. & Huff, K. D., Jul 2019, In : Progress in Nuclear Energy. 114, p. 1-12 12 p.

Research output: Contribution to journalArticle

Fast reactors
Spent fuels
Nuclear fuels
European Union
Sodium

Datasets

Automated Isotope Identification and Quantification Using Artificial Neural Networks

Kamuda, M. (Creator), Huff, K. D. (Creator), University of Illinois at Urbana-Champaign, Dec 12 2019

Dataset

Honors & Recognition

File
software development
engineering
community

Young Member Excellence Award

Kathryn D Huff (Recipient), Nov 2016

Prize: Honorary award

leadership
simulation
Society