Application of Machine Learning Methods to Predicting the Degree of Crystallinity of MFI Type Zeolites
-
Published:2022-03
Issue:3
Volume:62
Page:322-328
-
ISSN:0965-5441
-
Container-title:Petroleum Chemistry
-
language:en
-
Short-container-title:Pet. Chem.
Author:
Nikiforov A. I.ORCID, Babchuk I. V.ORCID, Vorobkalo V. A.ORCID, Chesnokov E. A.ORCID, Chistov D. L.ORCID
Publisher
Pleiades Publishing Ltd
Subject
Geochemistry and Petrology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry
Reference24 articles.
1. Van Bekkum, H., Flanigen, E.M., Jacobs, P.A., and Jansen J.C., Introduction to Zeolite Science and Practice, Elsevier Science, 2001, vol. 137, p. 359. 2. Yilmaz, B. and Muller, U., Top. Catal., 2009, vol. 52, no. 1, pp. 888–895. https://doi.org/10.1007/s11244-009-9226-0 3. McCusker, L.B., Olson, D.H., and Baerlocher, C., Atlas of Zeolite Framework Types, Elsevier, 2007. 4. Bingre, R., Louis, B., and Nguyen, P., Catalysts, 2018, vol. 8, no. 4, pp. 1–18. https://doi.org/10.3390/catal8040163 5. Chao, P.H., Tsai, S.T., Chang, S.L., Wang, I., and Tsai, T.C., Top. Catal., 2010, vol. 53, no. 3, pp. 231–237. https://doi.org/10.1007/s11244-009-9416-9
|
|