Journal of Synthetic Crystals, Volume. 51, Issue 8, 1323(2022)

Hot Zone Design of Large Size Ingot Crystalline Silicon Using Transfer Learning

HAO Peiyao1、*, ZHENG Lili1, ZHANG Hui2, and LIAO Jilong3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(13)

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    [4] [4] MA W C, ZHONG G X, SUN L, et al. Influence of an insulation partition on a seeded directional solidification process for quasi-single crystalline silicon ingot for high-efficiency solar cells[J]. Solar Energy Materials and Solar Cells, 2012, 100: 231-238.

    [5] [5] YU Q H, LIU L J, MA W C, et al. Local design of the hot-zone in an industrial seeded directional solidification furnace for quasi-single crystalline silicon ingots[J]. Journal of Crystal Growth, 2012, 358: 5-11.

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    [14] [14] KUDO H, MATSUMOTO T, KUTSUKAKE K, et al. Occurrence prediction of dislocation regions in photoluminescence image of multicrystalline silicon wafers using transfer learning of convolutional neural network[J]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2021, E104.A(6): 857-865.

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    HAO Peiyao, ZHENG Lili, ZHANG Hui, LIAO Jilong. Hot Zone Design of Large Size Ingot Crystalline Silicon Using Transfer Learning[J]. Journal of Synthetic Crystals, 2022, 51(8): 1323

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    Paper Information

    Category:

    Received: May. 7, 2022

    Accepted: --

    Published Online: Sep. 26, 2022

    The Author Email: Peiyao HAO (hpy20@mails.tsinghua.edu.cn)

    DOI:

    CSTR:32186.14.

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