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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.

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Spent fuels Engineering & Materials Science

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

Research Output 2008 2019

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

Whole core analysis of the single-fluid double-zone thorium molten salt reactor (SD-TMSR)

Ashraf, O., Rykhlevskii, A., Tikhomirov, G. V. & Huff, K. D., Jan 1 2019, (Accepted/In press) In : Annals of Nuclear Energy. 107115.

Research output: Contribution to journalArticle

Core analysis
Thorium
Fluids
Reactor operation
Criticality (nuclear fission)
machine learning
Gamma rays
Learning systems
Spectroscopy
gamma rays

Honors & Recognition

File
software development
engineering
community

Young Member Excellence Award

Kathryn D Huff (Recipient), Nov 2016

Prize: Honorary award

leadership
simulation
Society