Application of the Simple Bayesian Classifier for the N2 (77 K) Adsorption/Desorption Hysteresis Loop Recognition Научная публикация
| Журнал |
Adsorption
ISSN: 0929-5607 , E-ISSN: 1572-8757 |
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| Вых. Данные | Год: 2023, Том: 29, Номер: 5-6, Страницы: 199 - 208 Страниц : 10 DOI: 10.1007/s10450-022-00369-5 | ||
| Ключевые слова | Adsorption; Big data; Machine learning; Porous structure | ||
| Авторы |
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| Организации |
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Информация о финансировании (1)
| 1 | Министерство науки и высшего образования Российской Федерации (с 15 мая 2018) | 0239-2021-0010 |
Реферат:
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.
Библиографическая ссылка:
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 CAPlus 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 CAPlus OpenAlex
Даты:
| Поступила в редакцию: | 1 мар. 2022 г. |
| Принята к публикации: | 1 нояб. 2022 г. |
| Опубликована online: | 17 нояб. 2022 г. |
| Опубликована в печати: | 1 авг. 2023 г. |
Идентификаторы БД:
| Web of science: | WOS:000884950400001 |
| Scopus: | 2-s2.0-85142170628 |
| РИНЦ: | 54745803 |
| Chemical Abstracts: | 2022:2908521 |
| OpenAlex: | W4309179935 |