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
Dureckova, Hana, Krykunov, Mykhaylo, Aghaji, Mohammad Zein, Woo, Tom K
Published in Journal of physical chemistry. C (21.02.2019)
Published in Journal of physical chemistry. C (21.02.2019)
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A scalable metal-organic framework as a durable physisorbent for carbon dioxide capture
Lin, Jian-Bin, Nguyen, Tai T T, Vaidhyanathan, Ramanathan, Burner, Jake, Taylor, Jared M, Durekova, Hana, Akhtar, Farid, Mah, Roger K, Ghaffari-Nik, Omid, Marx, Stefan, Fylstra, Nicholas, Iremonger, Simon S, Dawson, Karl W, Sarkar, Partha, Hovington, Pierre, Rajendran, Arvind, Woo, Tom K, Shimizu, George K H
Published in Science (American Association for the Advancement of Science) (17.12.2021)
Published in Science (American Association for the Advancement of Science) (17.12.2021)
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High-Performing Deep Learning Regression Models for Predicting Low-Pressure CO2 Adsorption Properties of Metal–Organic Frameworks
Burner, Jake, Schwiedrzik, Ludwig, Krykunov, Mykhaylo, Luo, Jun, Boyd, Peter G, Woo, Tom K
Published in Journal of physical chemistry. C (24.12.2020)
Published in Journal of physical chemistry. C (24.12.2020)
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Catalytic Intermolecular Direct Arylation of Perfluorobenzenes
Lafrance, Marc, Rowley, Christopher N, Woo, Tom K, Fagnou, Keith
Published in Journal of the American Chemical Society (12.07.2006)
Published in Journal of the American Chemical Society (12.07.2006)
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3D porous metal-organic framework for selective adsorption of methane over dinitrogen under ambient pressure
Kivi, Charlie E, Gelfand, Benjamin S, Dureckova, Hana, Ho, Ha T K, Ma, Cindy, Shimizu, George K H, Woo, Tom K, Song, Datong
Published in Chemical communications (Cambridge, England) (13.12.2018)
Published in Chemical communications (Cambridge, England) (13.12.2018)
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Evaluation of carbon nanoscroll materials for post-combustion CO2 capture
Daff, Thomas D., Collins, Sean P., Dureckova, Hana, Perim, Eric, Skaf, Munir S., Galvão, Douglas S., Woo, Tom K.
Published in Carbon (New York) (01.05.2016)
Published in Carbon (New York) (01.05.2016)
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QSAR Accelerated Discovery of Potent Ice Recrystallization Inhibitors
Briard, Jennie G., Fernandez, Michael, De Luna, Phil, Woo, Tom. K., Ben, Robert N.
Published in Scientific reports (24.05.2016)
Published in Scientific reports (24.05.2016)
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A DFT + U study of defect association and oxygen migration in samarium-doped ceria
ISMAIL, Arif, HOOPER, James, GIORGI, Javier B, WOO, Tom K
Published in Physical chemistry chemical physics : PCCP (07.04.2011)
Published in Physical chemistry chemical physics : PCCP (07.04.2011)
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Characterization of Zn-Containing Metal-Organic Frameworks by Solid-State 67Zn NMR Spectroscopy and Computational Modeling
Sutrisno, Andre, Terskikh, Victor V., Shi, Qi, Song, Zhengwei, Dong, Jinxiang, Ding, San Yuan, Wang, Wei, Provost, Bianca R., Daff, Thomas D., Woo, Tom K., Huang, Yining
Published in Chemistry : a European journal (24.09.2012)
Published in Chemistry : a European journal (24.09.2012)
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MEPO-ML: a robust graph attention network model for rapid generation of partial atomic charges in metal-organic frameworks
Luo, Jun, Said, Omar Ben, Xie, Peigen, Gibaldi, Marco, Burner, Jake, Pereira, Cécile, Woo, Tom K.
Published in npj computational materials (01.01.2024)
Published in npj computational materials (01.01.2024)
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Molecular Mechanisms for the Functionality of Lubricant Additives
Mosey, Nicholas J, Můser, Martin H, Woo, Tom K
Published in Science (American Association for the Advancement of Science) (11.03.2005)
Published in Science (American Association for the Advancement of Science) (11.03.2005)
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