{"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":null,"pages":null},"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}
引用次数: 0
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...
期刊介绍：
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
