Predictive modeling and feature attribution of CO₂ adsorption on LDH-derived materials using machine learning approach

Decarbonization has become a global necessity to combat climate change and build a sustainable future for generations to come. Solid porous materials have been identified as promising materials for CO2 adsorption, which is an essential measure towards climate action. Layered double hydroxides (LDH)...

Full description

Bibliographic Details

Main Authors:	Pinto, Mavin Jason, Sharath, S. S., Sudhakar, K., Priya, S. Shanmuga, Thirunavukkarasu, I.
Format:	Article
Language:	en
Published:	Elsevier B.V. 2025
Subjects:	TJ Mechanical engineering and machinery
Online Access:	https://umpir.ump.edu.my/id/eprint/47192/1/Predictive%20modeling%20and%20feature%20attribution%20of%20CO%E2%82%82%20adsorption.pdf https://doi.org/10.1016/j.rineng.2025.108225 https://umpir.ump.edu.my/id/eprint/47192/
Tags:	Add Tag No Tags, Be the first to tag this record!