Empowering scientists with data-driven automated experimentation

被引：0
|
作者：
Jonghee Yang
Mahshid Ahmadi
机构：
[1] University of Tennessee,Institute for Advanced Materials and Manufacturing, Department of Materials Science and Engineering
来源：
Nature Synthesis | 2023年 / 2卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Automated experiments with integrated characterization techniques greatly accelerate materials synthesis and provide data to be used by machine learning algorithms. We reflect on the current use of data-driven automated experimentation in materials synthesis and consider the future of this approach.
引用
收藏
页码：462 / 463
页数：1
相关论文
共 50 条
  • [1] Empowering scientists with data-driven automated experimentation
    Yang, Jonghee
    Ahmadi, Mahshid
    [J]. NATURE SYNTHESIS, 2023, 2 (06): : 462 - 463
  • [2] Automated Experimentation Enables a Data-Driven Model for Palladium Removal with Aqueous Chelators
    Kochiashvili, Sofio
    Jangjou, Yasser
    Nunn, Christopher
    Yuh, Jun
    Harlee IV, Benjamin
    Wheelhouse, Katherine M. P.
    Dunn, Anna L.
    [J]. ORGANIC PROCESS RESEARCH & DEVELOPMENT, 2024, 28 (03) : 749 - 753
  • [3] Cooperating services for data-driven computational experimentation
    Plale, B
    Gannon, D
    Huang, Y
    Kandaswamy, G
    Pallickara, SL
    Slominski, A
    [J]. COMPUTING IN SCIENCE & ENGINEERING, 2005, 7 (05) : 34 - 43
  • [4] Reproducing scientists' mobility: a data-driven model
    Vaccario, Giacomo
    Verginer, Luca
    Schweitzer, Frank
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [5] Reproducing scientists’ mobility: a data-driven model
    Giacomo Vaccario
    Luca Verginer
    Frank Schweitzer
    [J]. Scientific Reports, 11
  • [6] Empowering Commercial Vehicles through Data-Driven Methodologies
    Bethaz, Paolo
    Cavaglion, Sara
    Cricelli, Sofia
    Liore, Elena
    Manfredi, Emanuele
    Salio, Stefano
    Regalia, Andrea
    Conicella, Fabrizio
    Greco, Salvatore
    Cerquitelli, Tania
    [J]. ELECTRONICS, 2021, 10 (19)
  • [7] Empowering Learning through Intelligent Data-Driven Systems
    Aldriwish, Khalid Abdullah
    [J]. ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (01) : 12844 - 12849
  • [8] Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies
    Hoeper, Lukas
    Schulte, Carsten
    [J]. INFORMATICS IN EDUCATION, 2024, 23 (03): : 593 - 624
  • [9] War in an automated, data-driven world
    Lucas, George
    [J]. SCIENCE, 2022, 376 (6588) : 41 - 41
  • [10] Multivariate Data-Driven Decision Guidance for Clinical Scientists
    Burstein, Frada
    De Silva, Daswin
    Jelinek, Herbert F.
    Stranieri, Andrew
    [J]. 2013 IEEE 29TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOPS (ICDEW), 2013, : 193 - 199
12345