Modern machine learning tools for crystallography

被引：0
|
作者：
Bosetti, Paolo [1 ]
Ragni, Matteo [1 ]
Leoni, Matteo [2 ]
机构：
[1] Univ Trento, Dept Ind Engn, Trento, Italy
[2] Univ Trento, Dept Civil Environm & Mech Engn, Trento, Italy
来源：
ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES | 2017年 / 73卷
关键词：
Deep Learning; Diffraction; Machine Learning;
D O I：
10.1107/S2053273317090118
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
MS041.O04
引用
收藏
页码：C562 / C562
页数：1
相关论文
共 50 条
  • [1] Modern machine tools
    Bock, F
    [J]. ZEITSCHRIFT DES VEREINES DEUTSCHER INGENIEURE, 1902, 46 : 22 - 25
  • [2] Machine Learning for Machine Tools
    Sinkora, Ed
    [J]. MANUFACTURING ENGINEERING, 2023, 171 (02): : 68 - 75
  • [3] Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
    Gopaluni, R. Bhushan
    Tulsyan, Aditya
    Chachuat, Benoit
    Huang, Biao
    Lee, Jong Min
    Amjad, Faraz
    Damarla, Seshu Kumar
    Kim, Jong Woo
    Lawrence, Nathan P.
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 225 - 236
  • [4] Machine learning in crystallography and structural science
    Billinge, Simon J. L.
    Proffen, Thomas
    [J]. ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2024, 80 : 139 - 145
  • [5] Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
    M. Migliorini
    R. Castellotti
    L. Canali
    M. Zanetti
    [J]. Computing and Software for Big Science, 2020, 4 (1)
  • [6] POSSIBILITIES OF MODERN MACHINE-TOOLS
    KAPP, B
    [J]. WERKSTATTSTECHNIK ZEITSCHRIFT FUR INDUSTRIELLE FERTIGUNG, 1979, 69 (12): : 749 - 761
  • [7] BUILDING PRECISION INTO MODERN MACHINE TOOLS
    不详
    [J]. MACHINERY, 1968, 75 (01): : 77 - &
  • [8] A Review on Machine Learning Tools
    Kaytan, Mustafa
    Aydilek, Ibrahim Berkan
    [J]. 2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP), 2017,
  • [9] Foreword to the special virtual issue on Modern approaches and tools for teaching crystallography
    de Delgado, Graciela Diaz
    Parkin, Sean
    [J]. ACTA CRYSTALLOGRAPHICA SECTION E-CRYSTALLOGRAPHIC COMMUNICATIONS, 2023, 79 : 767 - 768
  • [10] Demystifying image-based machine learning: a practical guide to automated analysis of field imagery using modern machine learning tools
    Belcher, Byron T.
    Bower, Eliana H.
    Burford, Benjamin
    Celis, Maria Rosa
    Fahimipour, Ashkaan K.
    Guevara, Isabela L.
    Katija, Kakani
    Khokhar, Zulekha
    Manjunath, Anjana
    Nelson, Samuel
    Olivetti, Simone
    Orenstein, Eric
    Saleh, Mohamad H.
    Vaca, Brayan
    Valladares, Salma
    Hein, Stella A.
    Hein, Andrew M.
    [J]. FRONTIERS IN MARINE SCIENCE, 2023, 10
12345