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Publication	Type	Year
Developing a Novel Nano-scale Hyperspectral Computed Tomography System ASNT Digital Imaging for NDT Kyle R. Thompson, Gabriella Dalton, Amber Lynn Dagel, Ryan Nicolas Goodner, James Zachariah Harris, Edward Steven Jimenez, Burke Lloyd Kernen, Daniel McArthur, Peter Andrew Schultz, Courtenay T. Vaughan, Christopher Walker, Bradley K. Alpert, Joseph W. Fowler, Zachary L. Levine, Nathan J. Nakamura, Christine G. Pappas, Daniel S. Swetz, Paul Szypryt, Joel Ullom	Conference Presentation – 2022 Conference Presentation	2022
Developing a Novel Nano-scale Hyperspectral Computed Tomography System ASNT Digital Imaging for NDT Kyle R. Thompson, Gabriella Dalton, Amber Lynn Dagel, Ryan Nicolas Goodner, James Zachariah Harris, Edward Steven Jimenez, Burke Lloyd Kernen, Daniel McArthur, Peter Andrew Schultz, Courtenay T. Vaughan, Christopher Walker, Bradley K. Alpert, Joseph W. Fowler, Zachary L. Levine, Nathan J. Nakamura, Christine G. Pappas, Daniel S. Swetz, Paul Szypryt, Joel Ullom	Abstract – 2022 Abstract	2022
Integrating Physics through Machine Learning Loss Conference on Data Analysis Charles Vollmer, James Derek Tucker, Matthew Thomas Martinez, Edward Steven Jimenez, Reese Wayne Davies, Gabriella Dalton https://www.osti.gov/search/identifier:1767375	Conference Paper – 2020 Conference Paper	2020
Integrating Physics Knowledge in Multi-Sensor Machine Learning Models CoDA 2020, Conference on Data Analytics Charles Vollmer, David M. Martinez, James Derek Tucker, Edward Steven Jimenez, Reece Davies, Gabriella Dalton	Abstract – 2020 Abstract	2020
Incorporating Scientifically Informed Constraints into Machine Learning Models for Material Classification from Hyperspectral-CT Scans SIAM Conference on Imaging Science Matthew Thomas Martinez, James Derek Tucker, Edward Steven Jimenez, Charles Vollmer, Richard McClanahan, Reese Wayne Davies, Gabriella Dalton	Abstract – 2020 Abstract	2020
Document Title	Type	Year