Defect-parameterized physics-informed neural network for forward and inverse modeling of laser ultrasonic wavefield
- DOI
- 10.1016/j.ultras.2026.107952
- Published
- 2026-05
- Container
- Ultrasonics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ultras.2026.107952,
title = {Defect-parameterized physics-informed neural network for forward and inverse modeling of laser ultrasonic wavefield},
author = {Liu Yang and Peipei Liu and Kiyoon Yi and Tam Van Huynh and Hanbi Byun and Jeaseung Kim and Hyunsung Hwang and Hoon Sohn},
year = {2026},
journal = {Ultrasonics},
doi = {10.1016/j.ultras.2026.107952},
url = {https://doi.org/10.1016/j.ultras.2026.107952}
}RIS
TY - JOUR TI - Defect-parameterized physics-informed neural network for forward and inverse modeling of laser ultrasonic wavefield AU - Liu Yang AU - Peipei Liu AU - Kiyoon Yi AU - Tam Van Huynh AU - Hanbi Byun AU - Jeaseung Kim AU - Hyunsung Hwang AU - Hoon Sohn PY - 2026 JO - Ultrasonics DO - 10.1016/j.ultras.2026.107952 UR - https://doi.org/10.1016/j.ultras.2026.107952 ER -
APA
Yang, L., Liu, P., Yi, K., Huynh, T. V., Byun, H., Kim, J., Hwang, H., & Sohn, H. (2026). Defect-parameterized physics-informed neural network for forward and inverse modeling of laser ultrasonic wavefield. Ultrasonics. https://doi.org/10.1016/j.ultras.2026.107952
Source records
- crossref · retrieved 2026-09-26T04:55:24.222Z