Towards estimation of CO₂ adsorption on highly porous MOF-based adsorbents using gaussian process regression approach.

ABSTRACT: 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 high amounts of CO₂ into the atmosphere. Therefore, effective capture techniques are needed to reduce the concentration of CO₂. In this regard, metal organic frameworks (MOFs) have been known as the promising materials for CO₂ adsorption. Hence, study on the impact of the adsorption conditions along with the MOFs structural properties on their ability in the CO₂ adsorption will open new doors for their further application in CO₂ separation technologies as well. However, the hi

SUBMITTER: Gheytanzadeh M 

PROVIDER: S-EPMC8333052 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature