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Fundamental and Computational Sciences Directorate

Staff information

Tobias Hagge

Computational Engineering
Pacific Northwest National Laboratory
PO Box 999
MSIN: K7-90
Richland, WA 99352

PNNL Publications


  • 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.

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