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SEED-SFA

Improving Predictions of Water Availability and Quality in Watersheds

Category: Transcriptomes

Description: Most natural landscapes are complex, and that complexity is both hard to measure and hard to simulate. A mathematical formulation that appropriately captures that complexity will lead to advances in predicting how the water cycle will change over time in a given watershed. These predictions can then be used to inform local stakeholders and help them make decisions.

Institution: ORNL

Corresponding Member: Jillian Banfield

Data URL: https://ess.science.energy.gov/highlights/

Associated Studies:

Coon, Ethan T., et al.. “Coupling surface flow and subsurface flow in complex soil structures using mimetic finite differences”. Advances in Water Resources 144, 103701.  (2020). https://doi.org/10.1016/j.advwatres.2020.103701.

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The SIBYLS beamline is a dual end station synchrotron beamline combining macromolecular crystallography (MC) with small-angle X-ray scattering (SAXS). MC produces high-resolution structural information from biological molecules, and the high-throughput SAXS pipeline enables the same biological systems to be imaged in aqueous solution, closer to their natural state.

  • Combining SAXS results with atomic-resolution structures.
  • Provides detailed characterizations of mass, radius, conformation, assembly, and shape changes.
  • Associated with protein folding and functions.
  • SAXS also can resolve ambiguities of crystallography by showing the most likely possible structures.
Oak Ridge National Laboratory is managed by UT-Battelle LLC for the US Department of Energy
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