Perspective: Role of structure prediction in materials discovery and design

被引:61
|
作者
Needs, Richard J. [1 ]
Pickard, Chris J. [2 ]
机构
[1] Univ Cambridge, Cavendish Lab, Theory Condensed Matter Grp, JJ Thomson Ave, Cambridge CB3 0HE, England
[2] Univ Cambridge, Dept Mat Sci & Met, 27 Charles Babbage Rd, Cambridge CB3 0FS, England
来源
APL MATERIALS | 2016年 / 4卷 / 05期
基金
英国工程与自然科学研究理事会;
关键词
HIGH-TEMPERATURE SUPERCONDUCTIVITY; SOLID HYDROGEN-SULFIDE; HIGH-PRESSURE; CRYSTAL-STRUCTURE; METALLIC HYDROGEN; MOLECULAR DISSOCIATION; LAYERED SUPERCONDUCTOR; PHASE-TRANSITIONS; H2S; PRINCIPLES;
D O I
10.1063/1.4949361
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Materials informatics owes much to bioinformatics and the Materials Genome Initiative has been inspired by the Human Genome Project. But there is more to bioinformatics than genomes, and the same is true for materials informatics. Here we describe the rapidly expanding role of searching for structures of materials using first-principles electronic-structure methods. Structure searching has played an important part in unraveling structures of dense hydrogen and in identifying the record-high-temperature superconducting component in hydrogen sulfide at high pressures. We suggest that first-principles structure searching has already demonstrated its ability to determine structures of a wide range of materials and that it will play a central and increasing part in materials discovery and design. (C) 2016 Author(s).
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Materials discovery by chemical analogy: role of oxidation states in structure prediction
    Davies, Daniel W.
    Butler, Keith T.
    Isayev, Olexandr
    Walsh, Aron
    FARADAY DISCUSSIONS, 2018, 211 : 553 - 568
  • [2] Structure prediction drives materials discovery
    Oganov, Artem R.
    Pickard, Chris J.
    Zhu, Qiang
    Needs, Richard J.
    NATURE REVIEWS MATERIALS, 2019, 4 (05) : 331 - 348
  • [3] Structure prediction drives materials discovery
    Artem R. Oganov
    Chris J. Pickard
    Qiang Zhu
    Richard J. Needs
    Nature Reviews Materials, 2019, 4 : 331 - 348
  • [4] Combining Machine Learning Potential and Structure Prediction for Accelerated Materials Design and Discovery
    Tong, Qunchao
    Gao, Pengyue
    Liu, Hanyu
    Xie, Yu
    Lv, Jian
    Wang, Yanchao
    Zhao, Jijun
    JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2020, 11 (20): : 8710 - 8720
  • [5] A perspective on Bayesian methods applied to materials discovery and design
    Arroyave, Raymundo
    Khatamsaz, Danial
    Vela, Brent
    Couperthwaite, Richard
    Molkeri, Abhilash
    Singh, Prashant
    Johnson, Duane D.
    Qian, Xiaoning
    Srivastava, Ankit
    Allaire, Douglas
    MRS COMMUNICATIONS, 2022, 12 (06) : 1037 - 1049
  • [6] A perspective on Bayesian methods applied to materials discovery and design
    Raymundo Arróyave
    Danial Khatamsaz
    Brent Vela
    Richard Couperthwaite
    Abhilash Molkeri
    Prashant Singh
    Duane D. Johnson
    Xiaoning Qian
    Ankit Srivastava
    Douglas Allaire
    MRS Communications, 2022, 12 : 1037 - 1049
  • [7] CALYPSO: A structure design method for materials discovery
    Ma, Yanming
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [8] Voxelized atomic structure framework for materials design and discovery
    Barry, Matthew C.
    Gissinger, Jacob R.
    Chandross, Michael
    Wise, Kristopher E.
    Kalidindi, Surya R.
    Kumar, Satish
    COMPUTATIONAL MATERIALS SCIENCE, 2023, 230
  • [9] Evolutionary Crystal Structure Prediction as a Method for the Discovery of Minerals and Materials
    Oganov, Artem R.
    Ma, Yanming
    Lyakhov, Andriy O.
    Valle, Mario
    Gatti, Carlo
    THEORETICAL AND COMPUTATIONAL METHODS IN MINERAL PHYSICS: GEOPHYSICAL APPLICATIONS, 2010, 71 : 271 - 298
  • [10] Computational Materials design by Evolutionary Structure Prediction
    Zhu, Q.
    Oganov, A.
    Qian, G.
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2014, 70 : C1539 - C1539