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Award Number and Duration |
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DOE DE-SC0021015 |
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PI and Point of Contact |
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Bei Wang Phillips (Publish Under Bei Wang) |
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Overview |
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We are experiencing an information overload from streams of data that arise from scientific instruments and simulations. For example, material scientists use molecular dynamics (MD) simulations to study how fluids (such as gas, oil, and water) interact with heterogeneous porous solids (such as ceramics, cement, and rock) to improve transport phenomena within porous materials, which play critical roles in our energy sector. Such simulations generate large, time-varying, and complex forms of data under different physical and chemical conditions. Keeping track of interesting phenomena and applying appropriate actions (such as storage, analysis, and visualization) while the simulation is running is necessary but challenging. To address this challenge, the goal is no longer to capture and store observations or simulation in detail, but rather to process data efficiently and approximately in order to create a summary - a sketch - which allows queries over large volumes of data to be answered quickly. |
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Publications and Manuscripts |
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Papers marked with * use alphabetic ordering of authors. |
Year 1 (2020 - 2021) | |
Manuscripts |
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![]() Mingzhe Li, Sourabh Palande, Bei Wang. Manuscript, 2020. |
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Software Downloads |
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Presentations, Educational Development and Broader Impacts |
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Year 1 (2020 - 2021) |
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Students |
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Current Students Mingzhe Li School of Computing and Scientific Computing and Imaging Institute University of Utah Fangfei Lan School of Computing and Scientific Computing and Imaging Institute University of Utah |
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Collaborators |
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Dr. Pania Newell, Assistant Professor, Department of Mechanical Engineering; University of Utah. Dr. Anastasia Ilgen, Sandia National Lab. Dr. Roxana Bujack, Los Alamos National Laboratory. Dr. Emilie Purvine, Pacific Northwest National Laboratory. Dr. Gunther Weber, Lawrence Berkeley National Laboratory. |
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Acknowledgement |
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This material is based upon work supported or partially supported by the United States Department of Energy (DOE) under Grant No. DE-SC0021015. |
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