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Stephen Elbert

Stephen Elbert

Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 375-2504


Stephen Elbert has over 30 years of experience as a computational scientist and program manager for grand challenge applications at the U.S. Department of Energy (DOE) and the National Science Foundation, where he managed the supercomputer centers program. He regularly serves on the DOE Computational Science Graduate Fellowship selection and screening committees. Dr. Elbert is the author of over 70 publications including journal articles (one with over 16,800 citations), book chapters, conference proceedings, and technical reports. He joined Pacific Northwest National Laboratory in 2004 and is also an adjunct professor in the School of Electrical Engineering and Computer Science at Washington State University.

Research Interests

  • New approaches to scalable, fault-resilient, and energy-efficient computational problems, especially data intensive ones with an emphasis on Exascale problems
  • Parallel approaches to implementing real-time Kalman filters for dynamic state estimation
  • Optimization methods for AC optimal power flow, unit commitment, economic dispatch, and financial transmission rights
  • Developing a repository for large-scale models for electric grid research

Education and Credentials

  • Ph.D. Computational Chemistry, University of Washington, 1973
  • B.S. Chemistry, Iowa State University, 1968

PNNL Publications


  • Palmer BJ, WA Perkins, Y Chen, S Jin, D Callahan, KA Glass, R Diao, MJ Rice, ST Elbert, MR Vallem, and Z Huang. 2016. "GridPACK™ : A Framework for Developing Power Grid Simulations on High-Performance Computing Platforms." International Journal of High Performance Computing Applications 30(2):223-240.  doi:10.1177/1094342015607609


  • Huang Z, N Zhou, R Diao, S Wang, ST Elbert, D Meng, and S Lu. 2015. "Capturing Real-Time Power System Dynamics: Opportunities and Challenges." In Proceedings of the 2015 Power & Energy Society General Meeting, July 26-30, 2015, Denver, Colorado.  IEEE, Piscataway, NJ.  doi:10.1109/PESGM.2015.7286337


  • Makarov YV, B Vyakaranam, D Wu, Z Hou, ST Elbert, and Z Huang. 2014. "On the Configuration of the US Western Interconnection Voltage Stability Boundary." In IEEE PES Transmission and Distribution Conference and Exposition, April 14-17, 2014, Chicago, Illinois, pp. 1-5.  IEEE, Piscataway, NJ.  doi:10.1109/TDC.2014.6863289
  • Makarov YV, B Vyakaranam, Z Hou, D Wu, D Meng, S Wang, ST Elbert, LE Miller, and Z Huang. 2014. Non-iterative Voltage StabilityPNNL-23736, Pacific Northwest National Laboratory, Richland, WA. 
  • Zhou N, Z Huang, D Meng, ST Elbert, S Wang, and R Diao. 2014. Capturing Dynamics in the Power Grid: Formulation of Dynamic State Estimation through Data Assimilation PNNL-23213, Pacific Northwest National Laboratory, Richland, WA. 


  • Elbert ST, K Kalsi, M Vlachopoulou, MJ Rice, KR Glaesemann, and N Zhou. 2012. "Advanced Computational Methods for Security Constrained Financial Transmission Rights: Structure and Parallelism." In 8th Power Plant and Power Systems Control Symposium, September 2-5, 2012, Toulouse, France, vol. 8, ed. M Fadel and S Caux, pp. 506-511.  International Federation of Automatic Control (IFAC), Winterthur, Switzerland.  doi:10.3182/20120902-4-FR-2032.00089
  • Kalsi K, ST Elbert, M Vlachopoulou, N Zhou, and Z Huang. 2012. "Advanced Computational Methods for Security Constrained Financial Transmission Rights." In IEEE Power and Energy Society General Meeting, July 22-26, 2012, San Diego, California, pp. 1-8.  IEEE, Piscataway, NJ.  doi:10.1109/PESGM.2012.6345577


  • Glezakou VA, ST Elbert, SS Xantheas, and K Ruedenberg. 2010. "Analysis of Bonding Patterns in the Valence Isoelectronic series O-3, S-3, SO2 and OS2 in Terms of Oriented Quasi-Atomic Molecular Orbitals ." Journal of Physical Chemistry A 114(33):8923-8931. 


  • Elbert ST, and H Kirkham. 2009. Renewables Integration Model Concept of OperationsPNNL-19040, Pacific Northwest National Laboratory, Richland, WA. 
  • Kouzes RT, GA Anderson, ST Elbert, I Gorton, and DK Gracio. 2009. "The Changing Paradigm of Data Intensive Computing ." Computer 42(1):26-34. 


  • Chin SH, ST Elbert, and SB Colson. 2005. "Special Report: Computational Science - Behind Innovation and Discovery: Data-Intensive Computing Key to Large Science Discoveries." Breakthroughs. Science, Technology, Innovation. (Fall 2005):8-9. 

Energy and Environment

Core Research Areas