Predicting Carbon Residual in Biomass Wastes Using Soft Computing Techniques

Predicting Carbon Residual in Biomass Wastes Using Soft Computing Techniques

In recent decades, the development of complex materials developed a class of biomass waste-derived porous carbons (BWDPCs), which are used for carbon capture and sustainable waste management. It is difficult in understanding the adsorption mechanism of CO2 in the air as it has a wide range of proper...

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Bibliographic Details
Main Authors: Preety Verma, J. Godwin Ponsam, Rajeev Shrivastava, Ajay Kushwaha, Neelabh Sao, AL Chockalingam, Leena Bojaraj, null JaikumarR, S. Chandragandhi, Assefa Alene
Format: Article
Language:English
Published: SAGE Publications 2022-01-01
Series:Adsorption Science & Technology
Online Access:http://dx.doi.org/10.1155/2022/8107196

Internet

http://dx.doi.org/10.1155/2022/8107196

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