{"title":"污染物光催化降解的人工神经网络建模：光催化剂、最佳参数和模型拓扑综述","authors":"Susmita Das, Snehal Moon, Ramanpreet Kaur, Gaurav Sharma, Praveen Kumar, Urška Lavrenčič Štangar","doi":"10.1080/01614940.2024.2338131","DOIUrl":null,"url":null,"abstract":"In the modern world, wastewater treatment is a critical responsibility for both residential and commercial processes. This article compiled and discussed the photocatalytic degradation of organic p...","PeriodicalId":50986,"journal":{"name":"Catalysis Reviews-Science and Engineering","volume":"106 1","pages":""},"PeriodicalIF":9.3000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology\",\"authors\":\"Susmita Das, Snehal Moon, Ramanpreet Kaur, Gaurav Sharma, Praveen Kumar, Urška Lavrenčič Štangar\",\"doi\":\"10.1080/01614940.2024.2338131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the modern world, wastewater treatment is a critical responsibility for both residential and commercial processes. This article compiled and discussed the photocatalytic degradation of organic p...\",\"PeriodicalId\":50986,\"journal\":{\"name\":\"Catalysis Reviews-Science and Engineering\",\"volume\":\"106 1\",\"pages\":\"\"},\"PeriodicalIF\":9.3000,\"publicationDate\":\"2024-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Catalysis Reviews-Science and Engineering\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1080/01614940.2024.2338131\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catalysis Reviews-Science and Engineering","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1080/01614940.2024.2338131","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology
In the modern world, wastewater treatment is a critical responsibility for both residential and commercial processes. This article compiled and discussed the photocatalytic degradation of organic p...
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Catalysis Reviews is dedicated to fostering interdisciplinary perspectives in catalytic science and engineering, catering to a global audience of industrial and academic researchers. This journal serves as a bridge between the realms of heterogeneous, homogeneous, and bio-catalysis, providing a crucial and critical evaluation of the current state of catalytic science and engineering. Published topics encompass advances in technology and theory, engineering and chemical aspects of catalytic reactions, reactor design, computer models, analytical tools, and statistical evaluations.
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