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Machine learning for materials design and discovery

机译:用于材料的机器设计和发现

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摘要

In the last decade, use of ML and related techniques for materials design and development has matured in a main stream field from a narrow and highly specialized area of interdisciplin­ary research. After discussing the current status of the field and a brief background on various commonly used ML techniques, this editorial presented a brief overview of the papers included in our Special Topic on Machine Learning for Materials Design and Discovery. The collection presents a representative snapshot of the latest ML related research that is currently being pursued within the community. We hope that this editorial will serve as a useful guide to the exciting and informative content presented in the Special Topic, and the collection of papers will be enjoyed by the scientific community.
机译:在过去的十年中,使用ML和相关技术的材料设计和开发技术已经在跨学科研究的狭窄和高度专业领域的主要流场中成熟。在讨论现场现状和关于各种常用ML技术的简要背景之后,这一编辑编辑概述了我们专题了解材料设计和发现的机器学习的专题文件。该系列介绍了最新的ML相关研究的代表性快照,目前正在境内正在追求社区。我们希望这一社论将成为特殊主题上提出的令人兴奋和信息丰富内容的有用指南,并且科学界将享受论文的收集。

著录项

  • 来源
    《Journal of Applied Physics》 |2021年第7期|070401.1-070401.8|共8页
  • 作者单位

    The Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA;

    Materials Science and Technology Division Los Alamos National Laboratory Los Alamos New Mexico 8754S USA;

    Department of Materials Science and Engineering University of Virginia Charlottesville Virginia 22904 USA Department of Mechanical and Aerospace Engineering University of Virginia Charlottesville Virginia 22904 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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