Data-driven parameter optimization for the synthesis of high-quality zeolitic imidazolate frameworks via a microdroplet route

被引:7
|
作者
He, Xiang [1 ]
Chen, Jianping [1 ]
Albin, Shane [1 ]
Zhu, Zan [1 ]
Wang, Wei-Ning [1 ]
机构
[1] Virginia Commonwealth Univ, Dept Mech & Nucl Engn, Richmond, VA 23219 USA
基金
美国国家科学基金会;
关键词
MOFs; ZIFs; Aerosol; Genetic algorithm; Multidimensional scaling; METAL-ORGANIC FRAMEWORKS; ZIF-8; EFFICIENT;
D O I
10.1016/j.apt.2020.11.018
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
As an emerging strategy for the synthesis of metal-organic frameworks (MOFs), a microdroplet-based spray method holds merits of improved heat and mass transfer rates, which allows the formation of MOF crystals in a much faster manner. To optimize the spray route for the MOF synthesis, further exploration is needed to understand the dominant variables controlling the quality of the products. With a series of experiments and advanced computational analysis, we present here general guidance for the synthesis of representative zeolitic imidazolate frameworks (i.e., ZIF-8 and ZIF-67) using the spray route. (c) 2021 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.
引用
收藏
页码:266 / 271
页数:6
相关论文
共 16 条
  • [1] Data-Driven Search Algorithm for Discovery of Synthesizable Zeolitic Imidazolate Frameworks
    Lee, Soochan
    Jeong, Hyein
    Jung, Sungyeop
    Kim, Yeongjin
    Cho, Eunchan
    Nam, Joohan
    Yang, D. ChangMo
    Shin, Dong Yun
    Lee, Jung-Hoon
    Oh, Hyunchul
    Choe, Wonyoung
    JACS AU, 2025,
  • [2] Parameter optimization method for the water quality dynamic model based on data-driven theory
    Liang, Shuxiu
    Han, Songlin
    Sun, Zhaochen
    MARINE POLLUTION BULLETIN, 2015, 98 (1-2) : 137 - 147
  • [3] Continuous synthesis for zirconium metal-organic frameworks with high quality and productivity via microdroplet flow reaction
    Ying Wang
    Liangjun Li
    Liting Yan
    Lei Cao
    Pengcheng Dai
    Xin Gu
    Xuebo Zhao
    ChineseChemicalLetters, 2018, 29 (06) : 849 - 853
  • [4] Continuous synthesis for zirconium metal-organic frameworks with high quality and productivity via microdroplet flow reaction
    Wang, Ying
    Li, Liangjun
    Yan, Liting
    Cao, Lei
    Dai, Pengcheng
    Gu, Xin
    Zhao, Xuebo
    CHINESE CHEMICAL LETTERS, 2018, 29 (06) : 849 - 853
  • [5] Generating High-Quality Datasets With Critical State Samples for Data-Driven Power System Applications
    Zhang, Zixuan
    Bai, Xiaoqing
    Weng, Zonglong
    Xiao, Jiawen
    Zhang, Jiale
    IEEE ACCESS, 2025, 13 : 27507 - 27515
  • [6] Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs
    Horn, Daniela
    Janssen, Lars
    Houben, Sebastian
    2021 32ND IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2021, : 832 - 837
  • [7] Data-driven analysis and evaluation of regional agriculture for high-quality development of Anhui Province in the Yangtze River Delta
    Fan Liu
    Cui Wang
    Yingyan Zhang
    Shuling Zhou
    Yaliu Yang
    Xue Wu
    Fagang Hu
    Conghu Liu
    Environmental Science and Pollution Research, 2022, 29 : 22490 - 22503
  • [8] Data-driven analysis and evaluation of regional agriculture for high-quality development of Anhui Province in the Yangtze River Delta
    Liu, Fan
    Wang, Cui
    Zhang, Yingyan
    Zhou, Shuling
    Yang, Yaliu
    Wu, Xue
    Hu, Fagang
    Liu, Conghu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (15) : 22490 - 22503
  • [9] Machine learning & deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry
    Kumar, Sethu Arun
    Ananda Kumar, Thirumoorthy Durai
    Beeraka, Narasimha M.
    Pujar, Gurubasavaraj Veeranna
    Singh, Manisha
    Narayana Akshatha, Handattu Sankara
    Bhagyalalitha, Meduri
    FUTURE MEDICINAL CHEMISTRY, 2022, 14 (04) : 245 - 270
  • [10] TTS-BY-TTS: TTS-DRIVEN DATA AUGMENTATION FOR FAST AND HIGH-QUALITY SPEECH SYNTHESIS
    Hwang, Min-Jae
    Yamamoto, Ryuichi
    Song, Eunwoo
    Kim, Jae-Min
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 6598 - 6602