Cite
Low-Temperature NO2Gas-Sensing System Based on Metal–Organic Framework-Derived In2O3Structures and Advanced Machine Learning Techniques
MLA
Amu-Darko, Jesse Nii Okai, et al. “Low-Temperature NO2Gas-Sensing System Based on Metal–Organic Framework-Derived In2O3Structures and Advanced Machine Learning Techniques.” Inorganic Chemistry, vol. 63, no. 35, Sept. 2024, pp. 16429–41. EBSCOhost, https://doi.org/10.1021/acs.inorgchem.4c02453.
APA
Amu-Darko, J. N. O., Hussain, S., Agyekum, E. A., Begi, A. N., Shah, S., Yusuf, K., Manavalan, R. K., Qiao, G., & Liu, G. (2024). Low-Temperature NO2Gas-Sensing System Based on Metal–Organic Framework-Derived In2O3Structures and Advanced Machine Learning Techniques. Inorganic Chemistry, 63(35), 16429–16441. https://doi.org/10.1021/acs.inorgchem.4c02453
Chicago
Amu-Darko, Jesse Nii Okai, Shahid Hussain, Enock Adjei Agyekum, Amensisa Negasa Begi, Sufaid Shah, Kareem Yusuf, Rajesh Kumar Manavalan, Guanjun Qiao, and Guiwu Liu. 2024. “Low-Temperature NO2Gas-Sensing System Based on Metal–Organic Framework-Derived In2O3Structures and Advanced Machine Learning Techniques.” Inorganic Chemistry 63 (35): 16429–41. doi:10.1021/acs.inorgchem.4c02453.