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Frontiers in Data Analytics and Monitoring Tools for Extreme Materials Proceedings of a Workshop (2023) / Chapter Skim
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4 Final Remarks
Pages 74-75

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From page 74...
... Examples of current state-of-the-art capabilities include small-scale testing methods; in situ transmission electron microscopy; multimodal X-ray scanning tunneling microscopy and X-ray transmission electron microscopy; the visualization of mechanisms; in situ imaging of various types; and shock 74
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From page 75...
... • There is progress on multimodal characterization and simulations, but matching length and timescales continues to be major challenge. • Data science is moving fast, with new approaches to data handling and automation, but more interdisciplinary approaches are needed.
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Key Terms

  • extreme environments
  • testing methods
  • transmission electron
  • electron microscopy
  • gathered seven

  • situ transmission
  • tron microscopy
  • timescales continues
  • theory provide
  • properties databases

  • scanning tunneling
  • materials properties
  • data science
  • capabilities include
  • situ imaging

  • constraints relevant
  • understanding mechanisms
  • beyond incremental
  • major challenge
  • machine learning

  • bridge time
  • learning approaches
  • moving fast
  • consider sustainability
  • minor gathered

  • data handling
  • improve data
  • main themes
  • matching length
  • tunneling microscopy


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