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Stephen Elbert

High Performance Computing
Pacific Northwest National Laboratory
PO Box 999
MSIN: K1-85
Richland, WA 99352


Dr. Stephen Elbert joined the Pacific Northwest National Laboratory (PNNL) in 2004. He led the acquisition of NW-ICE for the Energy Smart Data Center (ESDC) project and is PI or co-PI on over $125 million worth of proposals to install additional high performance computing at PNNL.

Dr. Elbert began his career at DOE’s Ames Laboratory as a computational chemist, where he was one of the principal authors of GAMESS, which currently has over 6,000 citations and 15,000 registered users. In 1991 he won an R&D 100 award for the SLALOM benchmark. He was a program manager at DOE (1992-1993) for the High Performance Computing Research Centers and for High Performance Communications R&D activities and served as Executive Director of the ESnet Steering Committee.

In 1994 he returned to Ames as the Director of the Scalable Computing Lab, which operated a wide variety of innovative systems including a 4096-processor Maspar MP-2, a 256-processor nCUBE and a 47-processor Paragon as well as number of innovative workstation clusters, including the first to use Gigabit Ethernet. Other innovations included a city-wide wireless network that became a model for an inexpensive communications infrastructure in rural Iowa school districts. In 1997 he returned to DOE as the Grand Challenge Applications program manager. In 1998 he moved to the National Science Foundation as director of the $70 million PACI program and the $36 million Terascale Computing System solicitation.

In 2000 he joined Andrew Chen in the creation of Entropia as the Director of Applications. Entropia produced desktop grid software for which Dr. Elbert developed performance models and evaluated and deployed applications such as BLAST, HMMER, Paup*, DOCK, GOLD, GAMESS, and Gaussian. In 2003 Steve joined IBM as a Senior Solutions Scientist responsible for the development of IT solutions for Life Sciences R&D in government research labs world wide as well as the development of strategic partnerships between IBM and DOE labs involved with the Genomics:GTL program.

Education and Credentials

  • B.S. Chemistry, Iowa State University
  • Ph.D. Computational Chemistry, University of Washington
  • Post-Doctoral Research Associate at the University of Bonn

PNNL Publications


  • 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


  • 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. 

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