Cite
Bayesian Machine Learning for Efficient Minimization of Defects in ALD Passivation Layers.
MLA
Dogan, Gül, et al. “Bayesian Machine Learning for Efficient Minimization of Defects in ALD Passivation Layers.” ACS Applied Materials & Interfaces, vol. 13, no. 45, Nov. 2021, pp. 54503–15. EBSCOhost, https://doi.org/10.1021/acsami.1c14586.
APA
Dogan, G., Demir, S. O., Gutzler, R., Gruhn, H., Dayan, C. B., Sanli, U. T., Silber, C., Culha, U., Sitti, M., Schütz, G., Grévent, C., & Keskinbora, K. (2021). Bayesian Machine Learning for Efficient Minimization of Defects in ALD Passivation Layers. ACS Applied Materials & Interfaces, 13(45), 54503–54515. https://doi.org/10.1021/acsami.1c14586
Chicago
Dogan, Gül, Sinan O. Demir, Rico Gutzler, Herbert Gruhn, Cem B. Dayan, Umut T. Sanli, Christian Silber, et al. 2021. “Bayesian Machine Learning for Efficient Minimization of Defects in ALD Passivation Layers.” ACS Applied Materials & Interfaces 13 (45): 54503–15. doi:10.1021/acsami.1c14586.