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Przybyla, Craig P.
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1

Quantitative Comparisons of Volumetric Datasets From Experi..:

Amjad, Khurram ; Christian, William J. R. ; Dvurecenska, Ksenija...
IEEE Access.  11 (2023)  - p. 123401-123417 , 2023
Link: https://doi.org/10.1109/..
 
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2

Deep Learning for Object Detection in Materials-Science Ima..:

Fu, Lan ; Yu, Hongkai ; Li, Xiaoguang..
IEEE Signal Processing Magazine.  39 (2022)  1 - p. 78-88 , 2022
Link: https://doi.org/10.1109/..
 
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3

Weakly supervised easy-to-hard learning for object detectio..:

Yu, Hongkai ; Guo, Dazhou ; Yan, Zhipeng...
Neurocomputing.  398 (2020)  - p. 71-82 , 2020
Link: https://doi.org/10.1016/..
 
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4

In situ characterization of residual stress evolution durin..:

Knauf, Michael W. ; Przybyla, Craig P. ; Shade, Paul A....
Journal of the American Ceramic Society.  104 (2020)  3 - p. 1424-1435 , 2020
Link: https://doi.org/10.1111/..
 
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5

Measuring the effects of heat treatment on SiC/SiC ceramic ..:

Knauf, Michael W. ; Przybyla, Craig P. ; Ritchey, Andrew J...
Journal of the American Ceramic Society.  103 (2019)  2 - p. 1293-1303 , 2019
Link: https://doi.org/10.1111/..
 
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6

Simultaneous Tracking and Registration in SiC/SiC Serial Se..:

Yu, Hongkai ; Sun, Yuxiang ; Zhou, Youjie...
Microscopy and Microanalysis.  24 (2018)  S1 - p. 570-571 , 2018
Link: https://doi.org/10.1017/..
 
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7

Residual stress determination of silicon containing boron d..:

Knauf, Michael W. ; Przybyla, Craig P. ; Ritchey, Andrew J...
Journal of the American Ceramic Society.  102 (2018)  5 - p. 2820-2829 , 2018
Link: https://doi.org/10.1111/..
 
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8

Creep of a Nextel™720/alumina ceramic composite containing ..:

Ruggles‐Wrenn, Marina B. ; Minor, Savannah N. ; Przybyla, Craig P..
International Journal of Applied Ceramic Technology.  16 (2018)  1 - p. 3-13 , 2018
Link: https://doi.org/10.1111/..
 
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9

Modeling Environmental Degradation of SiC‐Based Fibers:

Parthasarathy, Triplicane A. ; Przybyla, Craig P. ; Hay, Randall S...
Journal of the American Ceramic Society.  99 (2016)  5 - p. 1725-1734 , 2016
Link: https://doi.org/10.1111/..
 
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10

Microstructure-sensitive HCF and VHCF simulations:

Przybyla, Craig P. ; Musinski, William D. ; Castelluccio, Gustavo M..
International Journal of Fatigue.  57 (2013)  - p. 9-27 , 2013
Link: https://doi.org/10.1016/..
 
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11

Simulated extreme value fatigue sensitivity to inclusions a..:

Prasannavenkatesan, Rajesh ; Przybyla, Craig P. ; Salajegheh, Nima.
Engineering Fracture Mechanics.  78 (2011)  6 - p. 1140-1155 , 2011
Link: https://doi.org/10.1016/..
 
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12

Simulated microstructure-sensitive extreme value probabilit..:

Przybyla, Craig P. ; McDowell, David L.
International Journal of Plasticity.  27 (2011)  12 - p. 1871-1895 , 2011
Link: https://doi.org/10.1016/..
 
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13

Simulation-based extreme value marked correlations in fatig..:

Przybyla, Craig P. ; McDowell, David L.
Procedia Engineering.  2 (2010)  1 - p. 1045-1056 , 2010
Link: https://doi.org/10.1016/..
 
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14

Microstructure-sensitive extreme value probabilities for hi..:

Przybyla, Craig P. ; McDowell, David L.
International Journal of Plasticity.  26 (2010)  3 - p. 372-394 , 2010
Link: https://doi.org/10.1016/..
 
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15

Creep of a Nextel™720/Alumina Ceramic Composite Containing ..:

Ruggles-Wrenn, Marina B ; Minor, Savannah N ; Przybyla, Craig P.
https://scholar.afit.edu/facpub/317.  , 2019
Link: https://scholar.afit.edu..
 
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