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Hanbi Byun

Government of the Republic of Korea - Agency for Defense Development

Korea, Republic of (South Korea)

  • Government of the Republic of Korea - Agency for Defense Development

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Scholarly Papers (1)

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Frequency-domain physics-informed neural network for wavefield modeling and defect-parameterized inversion using shearography measurements

Number of pages: 31 Posted: 17 Jun 2026
Liu Yang, Tam Huynh, Peipei Liu, Zhanxiong Ma, Kiyoon Yi, Jeaseung Kim, Hyunsung Hwang, Hanbi Byun and Hoon Sohn
affiliation not provided to SSRN, affiliation not provided to SSRN, Southeast University, Lanzhou University, affiliation not provided to SSRN, LIG Nex1, LIG Nex1, Government of the Republic of Korea - Agency for Defense Development and affiliation not provided to SSRN
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Abstract:

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Ultrasonics, Defect Characterization, Shearography, Physics-Informed Neural Networks, Inverse Problem