Application of the Simple Bayesian Classifier for the N2 (77 K) Adsorption/Desorption Hysteresis Loop Recognition Full article
| Journal |
Adsorption
ISSN: 0929-5607 , E-ISSN: 1572-8757 |
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| Output data | Year: 2023, Volume: 29, Number: 5-6, Pages: 199 - 208 Pages count : 10 DOI: 10.1007/s10450-022-00369-5 | ||
| Tags | Adsorption; Big data; Machine learning; Porous structure | ||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Ministry of Science and Higher Education of the Russian Federation | 0239-2021-0010 |
Abstract:
The possibility to recognize the type of the adsorption/desorption hysteresis loop on N 2 (77 K) isotherms is considered.
The loop width change against both axes, the number of steps on both branches, including the numbers of steps around the cavitation-induced evaporation point, position of Point B, adsorption uptakes that correspond to Point B and to the maximum loading are considered as the simple Bayesian classifier features. The dataset used for training the classifier included 796 unique adsorption isotherms. The quality of the type prediction aspires 99% regarding H1, H3 and H4 types, and isrelatively high for other types.
Cite:
Mel’gunov M.S.
Application of the Simple Bayesian Classifier for the N2 (77 K) Adsorption/Desorption Hysteresis Loop Recognition
Adsorption. 2023. V.29. N5-6. P.199 - 208. DOI: 10.1007/s10450-022-00369-5 WOS Scopus РИНЦ AN OpenAlex
Application of the Simple Bayesian Classifier for the N2 (77 K) Adsorption/Desorption Hysteresis Loop Recognition
Adsorption. 2023. V.29. N5-6. P.199 - 208. DOI: 10.1007/s10450-022-00369-5 WOS Scopus РИНЦ AN OpenAlex
Dates:
| Submitted: | Mar 1, 2022 |
| Accepted: | Nov 1, 2022 |
| Published online: | Nov 17, 2022 |
| Published print: | Aug 1, 2023 |
Identifiers:
| Web of science: | WOS:000884950400001 |
| Scopus: | 2-s2.0-85142170628 |
| Elibrary: | 54745803 |
| Chemical Abstracts: | 2022:2908521 |
| OpenAlex: | W4309179935 |