Enter Note Done
Go to previous page in this tab
Session
  • Presentation | B43L: From Nano to Field: Scaling Soil Biogeochemistry with AI-Powered Multimodal Data Integration Poster
  • Poster
  • Bookmark Icon
  • B43L-2090: Automated Soil Microstructure Characterization Workflow for EMSL’s Molecular Observation Network (MONet) Database
  • Schedule
    Notes
  • Board 2090‚ Hall EFG (Poster Hall)
    NOLA CC
    Set Timezone

Generic 'disconnected' Message
Author(s):
Hasitha Sithadara Wijesuriya, Pacific Northwest National Laboratory (First Author, Presenting Author)
Layton Washburn, Pacific Northwest National Laboratory
William Petersen, Pacific Northwest National Laboratory
Maruti Mudunuru, Pacific Northwest National Laboratory
Tamas Varga, Pacific Northwest National Laboratory


Soil is essential for Earth's ecosystem, helping to store energy, regulate energy flow, and reduce the impact of natural and human activities. To better understand soil's complex role, scientists are creating a global database called MONet, which gathers detailed information about soil structure and composition. This database will help improve models of Earth's systems. A key challenge is analyzing tiny soil structures from soil samples, a process that could take thousands of hours manually. To solve this, researchers at Environmental Molecular Sciences Laboratory developed an automated workflow to quickly and efficiently handle this task, speeding up the creation of the MONet database.



Scientific Discipline
Suggested Itineraries
Neighborhood
Type
Main Session
Discussion