Synergistic Integration of Machine Learning with Microstructure/Composition-Designed SnO 2 and WO 3 Breath Sensors.

MLA

Nam, Yoonmi, et al. “Synergistic Integration of Machine Learning with Microstructure/Composition-Designed SnO 2 and WO 3 Breath Sensors.” ACS Sensors, vol. 9, no. 1, Jan. 2024, pp. 182–94. EBSCOhost, https://doi.org/10.1021/acssensors.3c01814.

APA

Nam, Y., Kim, K.-B., Kim, S. H., Park, K.-H., Lee, M.-I., Cho, J. W., Lim, J., Hwang, I.-S., Kang, Y. C., & Hwang, J.-H. (2024). Synergistic Integration of Machine Learning with Microstructure/Composition-Designed SnO 2 and WO 3 Breath Sensors. ACS Sensors, 9(1), 182–194. https://doi.org/10.1021/acssensors.3c01814

Chicago

Nam, Yoonmi, Ki-Beom Kim, Sang Hun Kim, Ki-Hong Park, Myeong-Ill Lee, Jeong Won Cho, Jongtae Lim, In-Sung Hwang, Yun Chan Kang, and Jin-Ha Hwang. 2024. “Synergistic Integration of Machine Learning with Microstructure/Composition-Designed SnO 2 and WO 3 Breath Sensors.” ACS Sensors 9 (1): 182–94. doi:10.1021/acssensors.3c01814.