Staff information

Tobias Hagge

Computational Engineering
Mathematician
Pacific Northwest National Laboratory
PO Box 999
MSIN: K7-90
Richland, WA 99352
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Hagge T.J., P. Stinis, E.H. Yeung, and A.M. Tartakovsky. 2017. "Solving differential equations with unknown constitutive relations as recurrent neural networks." In Deep Learning for the Physical Sciences (NIPS Workshop), December 8, 2017, Long Beach, California. La Jolla, California:Neural Information Processing Systems Foundation, Inc. PNNL-SA-130320.
Larche M.R., M.S. Prowant, P.J. Bruillard, T.J. Hagge, L.S. Fifield, M.S. Hughes, and X. Sun. 2017. "A Comparison of Different NDE Signal Processing Techniques Based on Waveform Entropies Applied to Long Fiber Graphite/Epoxy Plates." In Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure, March 25, 2017, Portland, Oregon, Proceedings of the SPIE, edited by HF Wu, AL Gyekenyesi, PJ Shull and T-Y Yu, 10169, Paper No. 101690T. Bellingham, Washington:SPIE. PNNL-SA-125214. doi:10.1117/12.2260490

Diaz A.A., C.E. Chamberlin, M.K. Edwards, T.J. Hagge, M.S. Hughes, M.R. Larche, and R. Mathews, et al. 2016. FY16 Status of Immersion Phased Array Ultrasonic Probe Development and Performance Demonstration Results for Under Sodium Viewing. PNNL-25732. Richland, WA: Pacific Northwest National Laboratory.