If you made any changes in Pure these 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.

  • 3 Similar Profiles

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

Research Output

  • 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

  • Demonstration of demand driven deployment capabilities in cyclus

    Chee, G. J., Bae, J. W., Flanagan, R. R., Fairhurst Agosta, R. E. & Huff, K. D., Jan 1 2020, p. 394-401. 8 p.

    Research output: Contribution to conferencePaper

  • Impacts of fast-spectrum molten salt reactor characteristics on fuel cycle performance

    Betzler, B. R., Rykhlevskii, A., Worrall, A. & Huff, K. D., Jan 1 2020, p. 514-521. 8 p.

    Research output: Contribution to conferencePaper

  • Methods for automated fuel cycle facility deployment

    Flanagan, R. R., Chee, G. J., Bae, J. W., Fairhurst, R. E. & Huff, K. D., Jan 1 2020, p. 402-407. 6 p.

    Research output: Contribution to conferencePaper

  • 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

    SaltProc output for TAP MSR and MSBR online reprocessing depletion simulations

    Rykhlevskii, A. (Creator) & Huff, K. D. (Creator), University of Illinois at Urbana-Champaign, Jul 1 2020

    Dataset

    Honors & Recognition

    File
  • Young Member Excellence Award

    Huff, Kathryn D (Recipient), Nov 2016

    Prize: Honorary award