Kirsten Chojnicki

Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 375-6721
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PNNL Publications

Byler E.B., C.N. Svinth, and K.N. Chojnicki. 2025. "Location generalizability of image-based air quality models." In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025), February 28-March 5, 2025, Tucson, AZ, 1091-1100. Piscataway, New Jersey:IEEE. PNNL-SA-206218. doi:10.1109/WACVW65960.2025.00131
Strickland C.E., D.C. Linneman, J.M. Knox, D. Sirota, S.C. Myers, G. Abbott, and T.R. Alexander, et al. 2025. Low Yield Nuclear Monitoring Physics Experiment 1 - Integrated Data Acquisition System Design and Initial Observations. PNNL-37567. Richland, WA: Pacific Northwest National Laboratory. Low Yield Nuclear Monitoring Physics Experiment 1 - Integrated Data Acquisition System Design and Initial Observations

Chojnicki K.N., J.V. Koch, and T.C. Johnson. 2022. Deep Learning At Depth: Estimating subsurface parameters from geophysical monitoring data. PNNL-33394. Richland, WA: Pacific Northwest National Laboratory. Deep Learning At Depth: Estimating subsurface parameters from geophysical monitoring data.
Johnson T.C., H.A. Knox, C.E. Strickland, C.M. Johnson, J.D. Lowrey, D.P. Sprinkle, and D.C. Linneman, et al. 2022. "3D time-lapse electrical resistivity imaging of rock damage patterns and gas flow paths resulting from two underground chemical explosions." Pure and Applied Geophysics 180. PNNL-SA-169928. doi:10.1007/s00024-022-03165-y