Machine learning-assisted development of organic photovoltaics via high-throughput in situ formulation

被引:0
|
作者
An, Na Gyeong [1 ,2 ]
Kim, Jin Young [2 ]
Vak, Doojin [1 ]
机构
[1] Commonwealth Scientific and Industrial Research Organisation (CSIRO) Manufacturing, Clayton,Victoria,3168, Australia
[2] School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan,44919, Korea, Republic of
来源
Energy and Environmental Science | 2021年 / 14卷 / 06期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Efficiency
引用
收藏
页码:3438 / 3446
相关论文
共 50 条
  • [41] Multifunctional Semitransparent Organic Photovoltaics with High-Throughput Screened Infrared Reflector
    Deng, Baozhong
    Zheng, Kaiwen
    Wang, Zihan
    Yin, Luqiao
    Dong, Hongliang
    Zhang, Chengxi
    Treguer-Delapierre, Mona
    N'konou, Kekeli
    Grandidier, Bruno
    Wang, Shenghao
    Zhang, Jianhua
    Xu, Tao
    ACS ENERGY LETTERS, 2024, 9 (03) : 976 - 984
  • [42] High-throughput point-of-care serum iron testing utilizing machine learning-assisted deep eutectic solvent fluorescence detection platform
    Li, Hui
    Yue, Hengmao
    Li, Haixiang
    Zhu, Maolin
    He, Xicheng
    Liu, Meng
    Li, Xiaoxia
    Qiu, Feng
    JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2025, 680 : 389 - 404
  • [43] Accelerating high-throughput phonon calculations via machine learning universal potentials
    Lee, Huiju
    Hegde, Vinay I.
    Wolverton, Chris
    Xia, Yi
    MATERIALS TODAY PHYSICS, 2025, 53
  • [44] Machine-Learning-Assisted High-Throughput computational screening of Metal-Organic framework membranes for hydrogen separation
    Bai, Xiangning
    Shi, Zenan
    Xia, Huan
    Li, Shuhua
    Liu, Zili
    Liang, Hong
    Liu, Zhiting
    Wang, Bangfen
    Qiao, Zhiwei
    CHEMICAL ENGINEERING JOURNAL, 2022, 446
  • [45] Machine Learning-Assisted Research and Development of Chemiresistive Gas Sensors
    Yuan, Zhenyu
    Luo, Xueman
    Meng, Fanli
    ADVANCED ENGINEERING MATERIALS, 2024, 26 (20)
  • [46] Machine learning-assisted development of gas separation membranes: A review
    Li, An
    Chu, Jianchun
    Huang, Shaoxuan
    Liu, Yongqi
    He, Maogang
    Liu, Xiangyang
    CARBON CAPTURE SCIENCE & TECHNOLOGY, 2025, 14
  • [47] Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
    Velasco, Pablo Quijano
    Hippalgaonkar, Kedar
    Ramalingam, Balamurugan
    BEILSTEIN JOURNAL OF ORGANIC CHEMISTRY, 2025, 21 : 10 - 38
  • [48] Combining machine learning and high-throughput experimentation to discover photocatalytically active organic molecules
    Li, Xiaobo
    Maffettone, Phillip M.
    Che, Yu
    Liu, Tao
    Chen, Linjiang
    Cooper, Andrew I.
    CHEMICAL SCIENCE, 2021, 12 (32) : 10742 - 10754
  • [49] Machine Learning Accelerated High-Throughput Computational Screening of Metal-Organic Frameworks
    Li, Wei
    Liang, Tiangui
    Lin, Yuanchuang
    Wu, Weixiong
    Li, Song
    PROGRESS IN CHEMISTRY, 2022, 34 (12) : 2619 - 2637
  • [50] High-Throughput Screening of Covalent Organic Frameworks for Carbon Capture Using Machine Learning
    De Vos, Juul S.
    Ravichandran, Siddharth
    Borgmans, Sander
    Vanduyfhuys, Louis
    van der Voort, Pascal
    Rogge, Sven M. J.
    Van Speybroeck, Veronique
    CHEMISTRY OF MATERIALS, 2024, 36 (09) : 4315 - 4330