Materials Fingerprinting Classification

Volume: 266, Pages: 108019 - 108019
Published: Sep 1, 2021
Abstract
Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic identities and three-dimensional coordinates. Methods for visualizing the local atomic structure, such as atom probe tomography (APT), which routinely generate datasets comprised of millions of atoms, are an important step in realizing this goal. However, state-of-the-art APT instruments generate noisy...
Paper Details
Title
Materials Fingerprinting Classification
Published Date
Sep 1, 2021
Volume
266
Pages
108019 - 108019
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