Machine learning in crystallography and structural science

被引：5
|
作者：
Billinge, Simon J. L. [1 ]
Proffen, Thomas [2 ]
机构：
[1] Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
[2] Oak Ridge Natl Lab, Neutron Scattering Div, Oak Ridge, TN 37830 USA
来源：
ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES | 2024年 / 80卷
关键词：
machine learning; artificial intelligence; deep learning; neural networks; IUCr Journals; PROTEIN; CLASSIFICATION; DATABASE;
D O I：
10.1107/S2053273324000172
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
引用
收藏
页码：139 / 145
页数：7
相关论文
共 50 条
  • [1] Understanding grain boundaries - The role of crystallography, structural descriptors and machine learning
    Patala, Srikanth
    COMPUTATIONAL MATERIALS SCIENCE, 2019, 162 : 281 - 294
  • [2] Modern machine learning tools for crystallography
    Bosetti, Paolo
    Ragni, Matteo
    Leoni, Matteo
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2017, 73 : C562 - C562
  • [3] Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning
    Karnik, Niranjan S.
    Afshar, Majid
    Churpek, Matthew M.
    Nunez-Smith, Marcella
    AMERICAN JOURNAL OF BIOETHICS, 2020, 20 (11): : 35 - 37
  • [4] Microstructural diagram for steel based on crystallography with machine learning
    Tsutsui, Kazumasa
    Terasaki, Hidenori
    Maemura, Tatsuya
    Hayashi, Kotaro
    Moriguchi, Koji
    Morito, Shigekazu
    COMPUTATIONAL MATERIALS SCIENCE, 2019, 159 : 403 - 411
  • [5] Machine learning & forensic science
    Margagliotti, Giulia
    Bolle, Timothy
    FORENSIC SCIENCE INTERNATIONAL, 2019, 298 : 138 - 139
  • [6] Science Malevolent Machine Learning
    Edwards, Chris
    COMMUNICATIONS OF THE ACM, 2019, 62 (12) : 13 - 15
  • [7] The changing science of machine learning
    Pat Langley
    Machine Learning, 2011, 82 : 275 - 279
  • [8] Machine learning for science and society
    Rudin, Cynthia
    Wagstaff, Kiri L.
    MACHINE LEARNING, 2014, 95 (01) : 1 - 9
  • [9] Machine learning in materials science
    Wei, Jing
    Chu, Xuan
    Sun, Xiang-Yu
    Xu, Kun
    Deng, Hui-Xiong
    Chen, Jigen
    Wei, Zhongming
    Lei, Ming
    INFOMAT, 2019, 1 (03) : 338 - 358
  • [10] Science in the age of machine learning
    Abbas Ourmazd
    Nature Reviews Physics, 2020, 2 : 342 - 343
12345