Fabrication of micro/nanotubes by mask-based diffraction lithography

被引:7
|
作者
Tan, Xianhua [1 ]
Shi, Tielin [1 ]
Gao, Yang [2 ]
Sheng, Wenjun [1 ]
Sun, Bo [1 ]
Liao, Guanglan [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[2] Jiujiang Univ, Key Lab Numer Control Technol & Applicat Jiangxi, Jiujiang 332005, Peoples R China
基金
中国国家自然科学基金;
关键词
micro/nanotubes; diffraction lithography; simulation; nanowires; PATTERNS; GROWTH; ARRAYS; STEP; ZNO;
D O I
10.1088/0960-1317/24/5/055006
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We demonstrate a scalable and repeatable method to fabricate micro/nanotubes. Mask-based diffraction lithography was modeled, and the effects of key parameters including the wavelength of the illuminant light, the thickness of the photoresist, the diameter of the photomask pattern and the exposure dose during the process were simulated. Analysis of the results indicates that the optical intensity distributions in the photoresist form separated regions, which can be used to fabricate micro/nanotubes. Experiments were then carried out, and we achieved the production of silicon microtubes and tube-in-tube arrays. It can be found that the outer diameter of the microtubes decreases while the inner diameter increases with the increment of exposure time, consistent with the simulation results. Thus, the optical model is suitable for explaining experimental phenomena, guiding experiments and optimizing the fabrication process. The obtained silicon microtubes exhibit fine hydrophobic properties and provide a good matrix for integrating active nanomaterials, which can provide great potential in their application to energy storage devices, solar cells, sensors and catalysts.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Paint-a-pouch: mask-based fabrication of pouch actuators for pneumatically actuated soft robots
    Zhang, Shuhang
    Banh, Jordan
    Gravish, Nick
    2024 IEEE 7TH INTERNATIONAL CONFERENCE ON SOFT ROBOTICS, ROBOSOFT, 2024, : 684 - 691
  • [22] A Mask-based enhancement method for historical documents
    Smith, Elisa H. Barney
    Darbon, Jerome
    Likforman-Sulem, Laurence
    DOCUMENT RECOGNITION AND RETRIEVAL XVIII, 2011, 7874
  • [23] Mask-based Latent Reconstruction for Reinforcement Learning
    Yu, Tao
    Zhang, Zhizheng
    Lan, Cuiling
    Lu, Yan
    Chen, Zhibo
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [24] Mask-based denoising scheme for ghost imaging
    Zhou, Yang
    Guo, Shu-Xu
    Zhong, Fei
    Zhang, Tian
    CHINESE PHYSICS B, 2019, 28 (08)
  • [25] Mask-based denoising scheme for ghost imaging
    周阳
    郭树旭
    钟菲
    张天
    Chinese Physics B, 2019, 28 (08) : 152 - 159
  • [26] Fresnel diffraction mask for optical projection lithography
    Watanabe, H
    Okuda, Y
    JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B, 1997, 15 (06): : 2417 - 2421
  • [27] Phase Mask-Based Multimodal Superresolution Microscopy
    Beams, Ryan
    Woodcock, Jeremiah W.
    Gilman, Jeffrey W.
    Stranick, Stephan J.
    PHOTONICS, 2017, 4 (03)
  • [28] Unsupervised training of neural mask-based beamforming
    Drude, Lukas
    Heymann, Jahn
    Haeb-Umbach, Reinhold
    INTERSPEECH 2019, 2019, : 1253 - 1257
  • [29] Mask-Shifting-Based Projection Lithography for Microlens Array Fabrication
    Gong, Jianwen
    Zhou, Ji
    Sun, Haifeng
    Hu, Song
    Wang, Jian
    Liu, Junbo
    PHOTONICS, 2023, 10 (10)
  • [30] Design and fabrication of liquid crystal wavefront corrector based on mask lithography
    Du, Ying
    Chen, Mei-rui
    Liu, Yu-tong
    Cao, Zong-xin
    Mao, Hong-min
    Li, Xiao-ping
    Sun, Hui-juan
    Cao, Zhao-liang
    CHINESE OPTICS, 2023, 17 (02) : 324 - 333