Search Results - "Lansing, Carina S."

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  1. 1

    Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model by Scott, Michael J., Daly, Don S., Hathaway, John E., Lansing, Carina S., Liu, Ying, McJeon, Haewon C., Moss, Richard H., Patel, Pralit L., Peterson, Marty J., Rice, Jennie S., Zhou, Yuyu

    Published in Energy (Oxford) (01-10-2015)
    “…In this paper, an IAM (integrated assessment model) uses a newly-developed Monte Carlo analysis capability to analyze the impacts of more aggressive U.S…”
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    Journal Article
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    Registering the Amica electronic structure code in the Extensible Computational Chemistry Environment by Gdanitz, Robert J., Black, Gary D., Lansing, Carina S., Palmer, Bruce J., Schuchardt, Karen L.

    Published in Journal of computational chemistry (01-02-2005)
    “…We describe the integration and use of the Amica software package (“Atoms & Molecules In Chemical Accuracy”) within the Extensible Computational Chemistry…”
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    Journal Article
  5. 5

    A science data gateway for environmental management by Agarwal, Deborah A., Faybishenko, Boris, Freedman, Vicky L., Krishnan, Harinarayan, Kushner, Gary, Lansing, Carina, Porter, Ellen, Romosan, Alexandru, Shoshani, Arie, Wainwright, Haruko, Weidmer, Arthur, Wu, Kesheng

    Published in Concurrency and computation (01-05-2016)
    “…Summary Science data gateways are effective in providing complex science data collections to the world‐wide user communities. In this paper we describe a…”
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    Journal Article Conference Proceeding
  6. 6

    Velo: A Knowledge-Management Framework for Modeling and Simulation by Gorton, Ian, Sivaramakrishnan, Chandrika, Black, Gary, White, Signe, Purohit, Sumit, Lansing, Carina, Madison, Michael, Schuchardt, Karen, Liu, Yan

    Published in Computing in science & engineering (01-03-2012)
    “…Velo is a reusable, domain-independent knowledge-management infrastructure for modeling and simulation. Velo leverages, integrates, and extends Web-based open…”
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    Journal Article
  7. 7

    Towards Adaptive, Streaming Analysis of X-ray Tomography Data by Thomas, Mathew, Kleese-van Dam, Kerstin, Marshall, Matthew J., Kuprat, Andrew, Carson, James, Lansing, Carina, Guillen, Zoe, Miller, Erin, Lanekoff, Ingela, Laskin, Julia

    Published in Synchrotron radiation news (04-03-2015)
    “…Temporal and spatial resolution of chemical imaging methodologies such as X-ray tomography are rapidly increasing, leading to more complex experimental…”
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    Journal Article
  8. 8

    Nationwide Buildings Energy Research enabled through an integrated Data Intensive Scientific Workflow and Advanced Analysis Environment by Kleese van Dam, Kerstin, Lansing, Carina S., Elsethagen, Todd O., Hathaway, John E., Guillen, Zoe C., Dirks, James A., Skorski, Daniel C., Stephan, Eric G., Gorrissen, Willy J., Gorton, Ian, Liu, Yan

    Published in Building simulation (28-01-2014)
    “…Modern workflow systems enable scientists to run ensemble simulations at unprecedented scales and levels of complexity, allowing them to study system sizes…”
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    Journal Article
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    A collaborative extensible user environment for simulation and knowledge management by Freedman, Vicky, Lansing, Carina, Porter, Ellen, Schuchardt, Karen, Guillen, Zoe, Sivaramakrishnan, Chandri, Gorton, Ian

    “…In scientific simulation, scientists use measured data to create numerical models, execute simulations and analyze results from advanced simulators executing…”
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    Conference Proceeding
  11. 11

    Velo and REXAN - Integrated data management and high speed analysis for experimental facilities by van Dam, K. K., Carson, J., Corrigan, A., Einstein, D., Guillen, Z., Heath, B., Kuprat, A., Lanekoff, I., Lansing, C., Laskin, J., Dongsheng Li, Yan Liu, Marshall, M., Miller, E., Orr, G., da Silva, P. P., Ryu, S., Szymanski, C., Thomas, M.

    “…The Chemical Imaging Initiative at the Pacific Northwest National Laboratory (PNNL) is creating a `Rapid Experimental Analysis' (REXAN) Framework, based on the…”
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    Conference Proceeding
  12. 12

    Designing the Cloud-Based DOE Systems Biology Knowledgebase by Lansing, C., Yan Liu, Jian Yin, Corrigan, A., Guillen, Z., van Dam, K. K., Gorton, I.

    “…Systems Biology research, even more than many other scientific domains, is becoming increasingly data-intensive. Not only have advances in experimental and…”
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    Conference Proceeding