Staff information

PNNL Publications

2024

• Wang D., B. Mitra, S. Nekkalapu, S. Datta, B. Mathew, R. Meyur, and H. Wang, et al. 2024. "Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models." In IEEE Green Technologies Conference (GreenTech 2024), April 3-5, 2024, Springdale, AR, 91-95. Piscataway, New Jersey:IEEE. PNNL-SA-183732. Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models">doi:10.1109/GreenTech58819.2024.10520554Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models

2019

• Pouchard L.C., S.A. Baldwin, T.O. Elsethagen, S. Jha, B. Raju, E.G. Stephan, and L. Tang, et al. 2019. "Computational Reproducibility of Scientific Workflows at Extreme Scales." International Journal of High Performance Computing Applications 33, no. 5:763-776. PNNL-SA-137882. doi:10.1177/1094342019839124

2018

• Chen Y., B.J. Palmer, P. Sharma, Y. Yuan, B. Mathew, and Z. Huang. 2018. "A High Performance Computational Framework for Dynamic Security Assessment under Uncertainty." In IEEE Electronic Power Grid (eGrid 2018), November 12-14, 2018, Charleston, SC. Piscataway, New Jersey:IEEE. PNNL-SA-138783. doi:10.1109/eGRID.2018.8598684
• Ritter M., L.S. Wood, T. Kuhr, M. Bracko, T.O. Elsethagen, K.M. Fox, and J.C. Hall, et al. 2018. "Belle II Conditions Database." Journal of Physics: Conference Series 1085, no. 3:Article No. 032032. PNNL-SA-130199. doi:10.1088/1742-6596/1085/3/032032

2017

• Stephan E.G., B. Raju, T.O. Elsethagen, L.C. Pouchard, and C. Gamboa. 2017. "A Scientific Data Provenance Harvester for Distributed Applications." In New York Scientific Data Summit (NYSDS 2017), August 6-9, 2017, New York. Piscataway, New Jersey:IEEE. PNNL-SA-128607. doi:10.1109/NYSDS.2017.8085041

2016

• Elsethagen T.O., E.G. Stephan, B. Raju, M. Schram, M.C. Macduff, D.J. Kerbyson, and K. Kleese-Van Dam, et al. 2016. "Data Provenance Hybridization Supporting Extreme-Scale Scientific WorkflowApplications." In New York Scientific Data Summit (NYSDS 2016), August 14-17, 2016, New York. Piscataway, New Jersey:IEEE. PNNL-SA-119959. doi:10.1109/NYSDS.2016.7747819
• Raju B., T.O. Elsethagen, E.G. Stephan, and K. Kleese van Dam. 2016. "A Scientific Data Provenance API for Distributed Applications." In International Conference on Collaboration Technologies and Systems (CTS 2016), October 31-November 4, 2016, Orlando, Florida, 104-111. Piscataway, New Jersey:IEEE. PNNL-SA-119915. doi:10.1109/CTS.2016.0036
• Thomas M., J. Laskin, B. Raju, E.G. Stephan, T.O. Elsethagen, N. Van, and S.N. Nguyen. 2016. "Enabling Re-executable Workflows with Near-realtime Visualization, Provenance Capture and Advanced Querying for Mass Spectrometry Data." In New York Scientific Data Summit (NYSDS 2016), August 14-17, 2016, New York. Piscataway, New Jersey:IEEE. PNNL-SA-119824. doi:10.1109/NYSDS.2016.7747806

2015

• Kleese van Dam K., E.G. Stephan, B. Raju, I. Altintas, T.O. Elsethagen, and S. Krishnamoorthy. 2015. "Enabling Structured Exploration of Workflow Performance Variability in Extreme-Scale Environments." In 8th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2015, November 15, 2015, Austin, Texas. Chicago, Illinois:Data-Intensive Distributed Systems Laboratory. PNNL-SA-120941.