Machine learning-assisted design of porous carbons for removing paracetamol from aqueous solutions

被引:0
|
作者
Kowalczyk, Piotr [1 ]
Terzyk, Artur P. [2 ]
Erwardt, Paulina [2 ]
Hough, Michael [1 ]
Deditius, Artur P. [1 ,3 ]
Gauden, Piotr A. [4 ]
Neimark, Alexander V. [5 ]
Kaneko, Katsumi [6 ]
机构
[1] College of Science, Health, Engineering and Education, Murdoch University, WA,6150, Australia
[2] Faculty of Chemistry, Physicochemistry of Carbon Materials Research Group, Nicolaus Copernicus University in Toruń, Gagarin St. 7, Toruń,87-100, Poland
[3] School of Earth Sciences, The University of Western Australia, Perth,WA,6009, Australia
[4] Faculty of Chemistry, Carbon Materials Application in Electrochemistry and Environmental Protection Research Group, Nicolaus Copernicus University in Toruń, Gagarin St. 7, Toruń,87-100, Poland
[5] Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, 98 Brett Road, Piscataway,NJ,08854-8058, United States
[6] Center for Energy and Environmental Science, Shinshu University, Nagano,380-8553, Japan
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:371 / 381
相关论文
共 50 条
  • [41] Interpretable machine learning-assisted screening of perovskite oxides
    Zhao, Jie
    Wang, Xiaoyan
    Li, Haobo
    Xu, Xiaoyong
    [J]. RSC ADVANCES, 2024, 14 (06) : 3909 - 3922
  • [42] Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
    Li, Jin
    Wu, Naiteng
    Zhang, Jian
    Wu, Hong-Hui
    Pan, Kunming
    Wang, Yingxue
    Liu, Guilong
    Liu, Xianming
    Yao, Zhenpeng
    Zhang, Qiaobao
    [J]. NANO-MICRO LETTERS, 2023, 15 (01)
  • [43] A brief review of machine learning-assisted Mg alloy design, processing, and property predictions
    Cheng, Yanhui
    Wang, Lifei
    Bai, Yunli
    Wang, Hongxia
    Cheng, Weili
    Tiyyagura, Hanuma Reddy
    Komissarov, Alexander
    Shin, Kwang Seon
    [J]. JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 30 : 8108 - 8127
  • [44] Machine Learning-Assisted PAPR Reduction in Massive MIMO
    Kalinov, Aleksei
    Bychkov, Roman
    Ivanov, Andrey
    Osinsky, Alexander
    Yarotsky, Dmitry
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (03) : 537 - 541
  • [45] Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
    Jin Li
    Naiteng Wu
    Jian Zhang
    Hong-Hui Wu
    Kunming Pan
    Yingxue Wang
    Guilong Liu
    Xianming Liu
    Zhenpeng Yao
    Qiaobao Zhang
    [J]. Nano-Micro Letters, 2023, 15
  • [46] Machine learning-assisted inverse design of wide-bandgap acoustic topological devices
    Li, Xinxin
    Qin, Yao
    He, Guangchen
    Lian, Feiyu
    Zuo, Shuyu
    Cai, Chengxin
    [J]. JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2024, 57 (13)
  • [47] Machine Learning-Assisted Design of Thin-Film Composite Membranes for Solvent Recovery
    Wang, Mao
    Shi, Gui Min
    Zhao, Daohui
    Liu, Xinyi
    Jiang, Jianwen
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2023, 57 (42) : 15914 - 15924
  • [48] Machine Learning-Assisted Decision Making in Orthopaedic Oncology
    Rizk, Paul A.
    Gonzalez, Marcos R.
    Galoaa, Bishoy M.
    Girgis, Andrew G.
    Van Der Linden, Lotte
    Chang, Connie Y.
    Lozano-Calderon, Santiago A.
    [J]. JBJS REVIEWS, 2024, 12 (07)
  • [49] Machine learning-assisted global optimization of photonic devices
    Kudyshev, Zhaxylyk A.
    Kildishev, Alexander, V
    Shalaev, Vladimir M.
    Boltasseva, Alexandra
    [J]. NANOPHOTONICS, 2021, 10 (01) : 371 - 383