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Data mining for materials: Computational experiments with AB compounds

机译:材料的数据挖掘:AB化合物的计算实验

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摘要

Machine learning is a broad discipline that comprises a variety of techniques for extracting meaningful information and patterns from data. It draws on knowledge and "know-how" from various scientific areas such as statistics, graph theory, linear algebra, databases, mathematics, and computer science. Recently, materials scientists have begun to explore data mining ideas for discovery in materials. In this paper we explore the power of these methods for studying binary compounds that are well characterized and are often used as a test bed. By mining properties of the constituent atoms, three materials research relevant tasks, namely, separation of a number of compounds into subsets in terms of their crystal structure, grouping of an unknown compound into the most characteristically similar peers (in one instance, 100% accuracy is achieved), and specific property prediction (the melting point), are explored.
机译:机器学习是一门广泛的学科,包括用于从数据中提取有意义的信息和模式的各种技术。它借鉴了统计,图论,线性代数,数据库,数学和计算机科学等各个科学领域的知识和“诀窍”。最近,材料科学家已经开始探索数据挖掘的想法,以发现材料。在本文中,我们探索了这些方法用于研究特征明确并经常用作测试床的二元化合物的能力。通过挖掘组成原子的特性,三种材料研究了相关任务,即根据晶体结构将多种化合物分离为子集,将未知化合物分组为最具特征的相似对等体(在一种情况下,其准确度为100%)达到),并探索特定的性能预测(熔点)。

著录项

  • 来源
    《Physical review》 |2012年第10期|p.104104.1-104104.10|共10页
  • 作者单位

    Department of Computer Science & Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA;

    Department of Computer Science & Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA;

    Department of Computer Science & Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA;

    Department of Chemical Engineering, and Center for Computational Materials, Institute for Computational Engineering and Sciences,The University of Texas at Austin, Austin, Texas 78712, USA;

    Department of Chemical Engineering, and Center for Computational Materials, Institute for Computational Engineering and Sciences,The University of Texas at Austin, Austin, Texas 78712, USA;

    Centre Europeen de Calcul Atomique et Moleculaire (CECAM), Ecole Polytechnique Federale de Lausanne, Switzerland,Institut de Theories des Phenomenes Physiques, Ecole Polytechnique Federale de Lausanne, Switzerland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    theory of crystal structure, crystal symmetry; calculations and modeling; inorganic compounds; computer science and technology;

    机译:晶体结构理论;晶体对称性;计算和建模;无机化合物计算机科学与技术;

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