Mohammad Zein Aghaji

Rapid and Accurate Machine Learning Recognition of High Performing Metal Organic Frameworks for CO₂ Capture

Michael Fernández, Peter G. Boyd, Thomas D. Daff et al. · The Journal of Physical Chemistry Letters · 2014 · 288 citations

Engineering, Machine Learning, Qspr Classifier +17

Robust Machine Learning Models for Predicting High CO₂ Working Capacity and CO₂/H₂ Selectivity of Gas Adsorption in Metal Organic Frameworks for Precombustion Carbon Capture

Hana Dureckova, Mykhaylo Krykunov, Mohammad Zein Aghaji et al. · The Journal of Physical Chemistry C · 2019 · 155 citations

Engineering, Machine Learning, Chemical Analysis +20

Phosphonate Monoesters as Carboxylate-like Linkers for Metal Organic Frameworks

S.S. Iremonger, Junmei Liang, Ramanathan Vaidhyanathan et al. · Journal of the American Chemical Society · 2011 · 95 citations

Quantitative Structure–Property Relationship Models for Recognizing Metal Organic Frameworks (MOFs) with High CO₂ Working Capacity and CO₂/CH₄ Selectivity for Methane Purification

Mohammad Zein Aghaji, Michael Fernández, Peter G. Boyd et al. · European Journal of Inorganic Chemistry · 2016 · 95 citations

Materials Science, Inorganic Chemistry, Chemical Engineering +14

Stepwise crystallographic visualization of dynamic guest binding in a nanoporous framework

Gabriel Brunet, Damir A. Safin, Mohammad Zein Aghaji et al. · Chemical Science · 2017 · 85 citations · Full text