Revealing the Latent Atomic World Through Data-Driven Microscopy

Many emerging technologies depend on the precise design of materials structure, chemistry, and defects. As devices shrink, manufacturing tolerances tighten, and performance envelopes improve, we must increasingly measure and manipulate materials at or near the single atom level. Here we describe how transmission electron microscopy (TEM) underpins our ability to see and direct the latent atomic world. We review a selection of our recent high-resolution TEM studies of the synthesis of oxide-based nanomaterials and their evolution in extreme environments. We then discuss powerful new artificial intelligence (AI) and machine learning (ML) approaches we have developed for rich, reproducible, and scalable experimentation. Furthermore, we conclude by discussing future developments that will enable new materials for breakthrough technologies.

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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Published
2024-10-31
Primary Topic
Advanced Materials Characterization Techniques
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article

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article

Revealing the Latent Atomic World Through Data-Driven Microscopy

Steven R. Spurgeon
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Advanced Materials Characterization Techniques
article

Revealing the Latent Atomic World Through Data-Driven Microscopy

Steven R. Spurgeon
article en

Abstract

Many emerging technologies depend on the precise design of materials structure, chemistry, and defects. As devices shrink, manufacturing tolerances tighten, and performance envelopes improve, we must increasingly measure and manipulate materials at or near the single atom level. Here we describe how transmission electron microscopy (TEM) underpins our ability to see and direct the latent atomic world. We review a selection of our recent high-resolution TEM studies of the synthesis of oxide-based nanomaterials and their evolution in extreme environments. We then discuss powerful new artificial intelligence (AI) and machine learning (ML) approaches we have developed for rich, reproducible, and scalable experimentation. Furthermore, we conclude by discussing future developments that will enable new materials for breakthrough technologies.

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Pacific Northwest National Laboratory (US), University of Washington (US)
U.S. Department of Energy, Battelle, Basic Energy Sciences, Biological and Environmental Research, Laboratory Directed Research and Development, Pacific Northwest National Laboratory
Advanced Materials Characterization Techniques
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Revealing the Latent Atomic World Through Data-Driven Microscopy — Steven R. Spurgeon · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2024) | TGRS Research Map | TGRS