Cite
Deep learning-based solvability of underdetermined inverse problems in nonlinear ultrasonic characterization of micro damages.
MLA
Liu, Lishuai, et al. “Deep Learning-Based Solvability of Underdetermined Inverse Problems in Nonlinear Ultrasonic Characterization of Micro Damages.” Journal of Applied Physics, vol. 132, no. 14, Oct. 2022, pp. 1–15. EBSCOhost, https://doi.org/10.1063/5.0107205.
APA
Liu, L., Sun, D., Xiang, Y., & Xuan, F.-Z. (2022). Deep learning-based solvability of underdetermined inverse problems in nonlinear ultrasonic characterization of micro damages. Journal of Applied Physics, 132(14), 1–15. https://doi.org/10.1063/5.0107205
Chicago
Liu, Lishuai, Di Sun, Yanxun Xiang, and Fu-Zhen Xuan. 2022. “Deep Learning-Based Solvability of Underdetermined Inverse Problems in Nonlinear Ultrasonic Characterization of Micro Damages.” Journal of Applied Physics 132 (14): 1–15. doi:10.1063/5.0107205.