Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces.

MLA

Kim, Taemin, et al. “Ultrathin Crystalline-Silicon-Based Strain Gauges with Deep Learning Algorithms for Silent Speech Interfaces.” Nature Communications, vol. 13, no. 1, Oct. 2022, pp. 1–12. EBSCOhost, https://doi.org/10.1038/s41467-022-33457-9.

APA

Kim, T., Shin, Y., Kang, K., Kim, K., Kim, G., Byeon, Y., Kim, H., Gao, Y., Lee, J. R., Son, G., Kim, T., Jun, Y., Kim, J., Lee, J., Um, S., Kwon, Y., Son, B. G., Cho, M., Sang, M., & Shin, J. (2022). Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces. Nature Communications, 13(1), 1–12. https://doi.org/10.1038/s41467-022-33457-9

Chicago

Kim, Taemin, Yejee Shin, Kyowon Kang, Kiho Kim, Gwanho Kim, Yunsu Byeon, Hwayeon Kim, et al. 2022. “Ultrathin Crystalline-Silicon-Based Strain Gauges with Deep Learning Algorithms for Silent Speech Interfaces.” Nature Communications 13 (1): 1–12. doi:10.1038/s41467-022-33457-9.