Search Results - "Guillen, Zoe C."

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  1. 1

    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
  2. 2

    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
  3. 3

    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
  4. 4

    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
  5. 5

    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