b'Author Title PublicationB. Gong, C. Lu, P. Lei, K. E. Metzger, E.Cr Doped U 3 Si 2Composite Fuels underCorrosion Science (2020), under J. Lahoda, F.A. Boylan, K. Yang, J. Fay,Steam Corrosion review.J.Harp and J. LianB. Gong, T. Yao, P. Lei, C. Lu, K. E.U 3 Si 2and UO 2composites densifiedJournal of Nuclear Materials 534 Metzger, E. J. Lahoda, F. A. Boylan, A.by spark plasma sintering for accident- (2020): 152147Mohamad, J. Harp, A. T. Nelson and J.tolerant fuelsLianJ.P. Gorton, S.K. Lee, Y. Lee and N.R.Comparison of experimental andNucl. Eng. Des. 353 (2019): Brown simulated critical heat flux tests with110295 doi.org/10.1016/j.various cladding alloys: Sensitivity ofnucengdes.2019.110295iron-chromium-aluminum (FeCrAl) to heat transfer coefficients and material propertiesJ. M. Harp, L. Capriotti, D. L. Porter andU-10Zr and U-5Fs: Fuel/cladding528 (2020) 151840J. I. Cole chemical interaction behavior differencesM. He and Y. Lee Application of machine learning forNucl. Eng. Des. 338 (2018): prediction of critical heat flux: Support189198 doi:10.1016/j.vector machine for data-driven CHFnucengdes.2018.08.005.look-up table construction based on sparingly distributed training data pointsM. He and Y. Lee Revisiting heater size sensitive poolTherm. Sci. Eng. Prog. 14 boiling critical heat flux using neural(2019): 100421 doi:10.1016/j.network modeling: Heater lengthtsep.2019.100421.of the half of the Rayleigh-Taylor Instability Wavelength maximizes CHFM. He and Y. Lee Application of Deep Belief NetworkNuclear Technology 206 (2020): for Critical Heat Flux Prediction on358374 doi:10.1080/00295450.2Microstructure Surfaces 019.1626177.F. M. Heim, J.T. Daspit, O. B. Holzmond,Analysis of tow architecture variabilityComposites Part B: Engineering 190 B. P. Croom and X. Li in biaxially braided composite tubes (2020): 107938F. M. Heim, J.T. Daspit and X.Li Quantifying the effect of unit cellComposites Part B: Engineering, irregularity on the performance ofacceptedbiaxially braided composite tubes154 2020|AFC ACCOMPLISHMENTS'