Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maximilian Cohen"'
Autor:
Jiahua Zhou, Piaoping Yang, Pavel A. Kots, Maximilian Cohen, Ying Chen, Caitlin M. Quinn, Matheus Dorneles de Mello, J. Anibal Boscoboinik, Wendy J. Shaw, Stavros Caratzoulas, Weiqing Zheng, Dionisios G. Vlachos
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Oxygen-containing carbons are promising supports and metal-free catalysts for many reactions. However, distinguishing the role of various oxygen functional groups and quantifying and tuning each functionality is still difficult. Here we inve
Externí odkaz:
https://doaj.org/article/5bbe7d4bc1b34016a02ca8adfe5a3b78
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
IR spectra are great for characterizing single-crystals and large nanoparticles, but not for highly dispersed heterogeneous catalysts made up of single-atoms and ultra-small clusters. To solve this, the authors developed a method to generate syntheti
Externí odkaz:
https://doaj.org/article/7daa620e1bbf4f66b2a389547f4ece5b
Publikováno v:
Reaction Chemistry & Engineering. 8:824-837
Reaction networks are identified with active learning design of experiments using Bayesian statistics and Boolean principles in a generalizable methodology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19f523f72f1e3bae8d76fb3c237d36ac
https://doi.org/10.1039/d2re00315e
https://doi.org/10.1039/d2re00315e
Autor:
Maximilian Cohen, Dionisios G. Vlachos
Publikováno v:
Industrial & Engineering Chemistry Research. 62:2191-2201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7676e803945d821d69d21871313df41d
https://doi.org/10.1021/acs.iecr.2c01991
https://doi.org/10.1021/acs.iecr.2c01991
Autor:
Maximilian Cohen, Dionisios G. Vlachos
Publikováno v:
Industrial & Engineering Chemistry Research. 61:5117-5128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb19bdaba72615f94c342115e677394c
https://doi.org/10.1021/acs.iecr.2c00390
https://doi.org/10.1021/acs.iecr.2c00390
Autor:
Maximilian Cohen, Dionisios G. Vlachos
Publikováno v:
Computer Physics Communications. 265:107989
The robust estimation of chemical kinetic parameters and their associated uncertainty is essential in the field of chemistry and catalysis. The Chemical Kinetics Bayesian Inference Toolbox (CKBIT) is a Python software library introduced to enable use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a8b98425ed2ec25f22ade35cbe0026
https://doi.org/10.1016/j.cpc.2021.107989
https://doi.org/10.1016/j.cpc.2021.107989
Publikováno v:
Chemical Engineering Science. 237:116534
We study ethane dehydrogenation's kinetics over a Ga2O3/Al2O3 catalyst in the absence and presence of CO2 and H2O. We identify the reaction network through the hypothesis of overall-reactions and reaction stoichiometry using judicious experiments by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc9dc073f01071588edc1b7899bf73ec
https://doi.org/10.1016/j.ces.2021.116534
https://doi.org/10.1016/j.ces.2021.116534