Sipkens, T. ., & Daun, K. . (2017). Using cube models to infer trends in thermal accommodation coefficients at high temperatures. International Journal of Heat and Mass Transfer, 111. https://doi.org/10.1016/j.ijheatmasstransfer.2017.03.090
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Grauer, S. ., Hadwin, P. ., & Daun, K. . (2017). Measurement-based meshing, basis selection, and prior assignment in chemical species tomography. Optics Express, 25. https://doi.org/10.1364/oe.25.025135
Grauer, S. ., Tsang, R. ., & Daun, K. . (2017). Broadband chemical species tomography: measurement theory and a proof-of-concept emissions detection experiment. The Journal of Quantitative Spectroscopy \& Radiative Transfer, 198. https://doi.org/10.1016/j.jqsrt.2017.04.030
Hadwin, P. ., Sipkens, T. ., Thomson, K. ., Liu, F. ., & Daun, K. . (2017). Quantifying uncertainty in auto-compensating laser-induced incandescence experiments due to multiple nuisance parameters. Applied Physics B, 123. https://doi.org/10.1007/s00340-017-6693-z
Sipkens, T. ., & Daun, K. . (2017). Defining regimes and analytical expressions for fluence curves in pulsed laser heating of nanoparticles. Optics Express, 25. https://doi.org/10.1364/oe.25.005684
Moghaddam, T. ., Hadwin, P. ., & Daun, K. . (2017). Soot aggregate sizing through multiangle elastic light scattering: influence of model error. Journal of Aerosol Science, 111. https://doi.org/10.1016/j.jaerosci.2017.06.003
Hadwin, P. ., Sipkens, T. ., Thomson, K. ., Liu, F. ., & Daun, K. . (2018). A Kalman filter approach for uncertainty quantification in time-resolved laser-induced incandescence. The Journal of the Optical Society of America, 35. https://doi.org/10.1364/josaa.35.000386
Moghaddam, T. ., & Daun, K. . (2018). Plasma emission during time-resolved laser-induced incandescence measurements of aerosolized metal nanoparticles. Applied Physics B, 124, 159. https://doi.org/10.1007/s00340-018-7028-4
Di Ciano, M. ., Field, N. ., Wells, M. ., & Daun, K. . (2018). Development of an austenitization kinetics model for 22MnB5 steel. The Journal of Materials Engineering and Performance, 27. https://doi.org/10.1007/s11665-018-3262-5
Sipkens, T. ., Grauer, S. ., Hadwin, P. ., & Daun, K. . (2018). Predicting the heat of vaporization of iron at high temperatures using time-resolved laser-induced incandescence and Bayesian model selection. Journal of Applied Physics, 123, 095103. https://doi.org/10.1063/1.5016341
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