4D Catalysis Concept Enabled by Multilevel Data Collection and Machine Learning Analysis

被引:2
|
作者
Galushko, Alexey S. [1 ]
Ananikov, Valentine P. [1 ]
机构
[1] Russian Acad Sci, Zelinsky Inst Organ Chem, Moscow 119991, Russia
基金
俄罗斯科学基金会;
关键词
TRANSMISSION ELECTRON-MICROSCOPY; SINGLE-ATOM DYNAMICS; HECK REACTIONS; HETEROGENEOUS CATALYSTS; COUPLING REACTIONS; CARBON; EVOLUTION; NANOPARTICLES; DEGRADATION; OXYGEN;
D O I
10.1021/acscatal.3c03889
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
引用
收藏
页码:161 / 175
页数:15
相关论文
共 50 条
  • [1] Network Traffic Data Collection for Machine Learning Analysis
    Chao, James
    Rodriguez, Ramiro
    [J]. SPIE FUTURE SENSING TECHNOLOGIES 2023, 2023, 12327
  • [2] A comparison of machine learning methods for recovering noisy and missing 4D flow MRI data
    Csala, Hunor
    Amili, Omid
    D'Souza, Roshan M.
    Arzani, Amirhossein
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2024,
  • [3] 4D Building Reconstruction with Machine Learning and Historical Maps
    Farella, Elisa Mariarosaria
    Ozdemir, Emre
    Remondino, Fabio
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (04): : 1 - 24
  • [4] LLAMA: a robust and scalable machine learning pipeline for analysis of large scale 4D microscopy data: analysis of cell ruffles and filopodia
    James G. Lefevre
    Yvette W. H. Koh
    Adam A. Wall
    Nicholas D. Condon
    Jennifer L. Stow
    Nicholas A. Hamilton
    [J]. BMC Bioinformatics, 22
  • [5] LLAMA: a robust and scalable machine learning pipeline for analysis of large scale 4D microscopy data: analysis of cell ruffles and filopodia
    Lefevre, James G.
    Koh, Yvette W. H.
    Wall, Adam A.
    Condon, Nicholas D.
    Stow, Jennifer L.
    Hamilton, Nicholas A.
    [J]. BMC BIOINFORMATICS, 2021, 22 (01)
  • [6] Machine Learning Enabled Secure Collection of Phasor Data in Smart Power Grid Networks
    Lalouani, Wassila
    Younis, Mohamed
    [J]. 2020 16TH INTERNATIONAL CONFERENCE ON MOBILITY, SENSING AND NETWORKING (MSN 2020), 2020, : 546 - 553
  • [7] Perspective: Machine Learning in Design for 3D/4D Printing
    Sun, Xiaohao
    Zhou, Kun
    Demoly, Frederic
    Zhao, Ruike Renee
    Qi, H. Jerry
    [J]. JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, 2024, 91 (03):
  • [8] Machine Learning and Big Data Analysis in the Field of Catalysis (A Review)
    V. G. Filippov
    Ya. A. Mikhailov
    A. V. Elyshev
    [J]. Kinetics and Catalysis, 2023, 64 : 122 - 134
  • [9] Machine Learning and Big Data Analysis in the Field of Catalysis (A Review)
    Filippov, V. G.
    Mikhailov, Ya. A.
    Elyshev, A. V.
    [J]. KINETICS AND CATALYSIS, 2023, 64 (02) : 122 - 134
  • [10] In Vitro Data Collection Using Image Analysis and Machine Learning
    Niedz, R. P.
    [J]. IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-ANIMAL, 2020, 56 (01) : S17 - S17