Towards estimation of CO<sub>2</sub> adsorption on highly porous MOF-based adsorbents using gaussian process regression approach

Towards estimation of CO<sub>2</sub> adsorption on highly porous MOF-based adsorbents using gaussian process regression approach

<p dir="ltr">In recent years, new developments in controlling greenhouse gas emissions have been implemented to address the global climate conservation concern. Indeed, the earth's average temperature is being increased mainly due to burning fossil fuels, explicitly releasing hi...

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Bibliographic Details
Main Author: Majedeh Gheytanzadeh (17541927) (author)
Other Authors: Alireza Baghban (5159648) (author), Sajjad Habibzadeh (5548580) (author), Amin Esmaeili (17541204) (author), Otman Abida (2071714) (author), Ahmad Mohaddespour (17541948) (author), Muhammad Tajammal Munir (17541933) (author)
Published: 2021
Subjects:
Chemical sciences
Theoretical and computational chemistry
Engineering
Chemical engineering
Environmental sciences
Climate change impacts and adaptation
Pollution and contamination
CO2 adsorption
MOF-based
greenhouse gas
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