Modeling and prediction of Cadmium ion biosorption efficiency using neural networks with Hypnea valentiae DOI Creative Commons

P. Thamarai,

R. Kamalesh,

V.C. Deivayanai

и другие.

Sustainable Chemistry for the Environment, Год журнала: 2024, Номер unknown, С. 100197 - 100197

Опубликована: Дек. 1, 2024

Язык: Английский

Synthesis, Characterisation Of Agricultural Biomass Derived Activated Carbon And Its Applications DOI Creative Commons
Shweta Priya, S A Salmataj,

B Anusha

и другие.

Materials Research Express, Год журнала: 2024, Номер 12(1), С. 012001 - 012001

Опубликована: Дек. 20, 2024

Abstract As the world moves toward greener energy generation methods and cleaner environments, activated carbon produced from ligninocellulosic resources has attracted unexpected interest due to its easy availability, economic, renewable, biodegradable properties, which makes it a viable alternative exhaustible coal. This review paper provides comprehensive overview of systematic procedure develop plant biomass, characterization by simple techniques, versatile applications carbon. includes role in environmental remediation, emphasizing efficacy removing wide array pollutants, sustainable hydrogen capture storage supercapacitors. A brief comparison key aspects optimal toxicant adsorption, like batch conditions, best-fit model, isotherms, maximum are also made. To ascertain efficiency supercapacitors, their strategy designing it, output terms specific capacitance, power, density compared.

Язык: Английский

Процитировано

0

Modeling and prediction of Cadmium ion biosorption efficiency using neural networks with Hypnea valentiae DOI Creative Commons

P. Thamarai,

R. Kamalesh,

V.C. Deivayanai

и другие.

Sustainable Chemistry for the Environment, Год журнала: 2024, Номер unknown, С. 100197 - 100197

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0