Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Orysia Zaremba"'
Autor:
Ahmadreza Ghaffarkhah, Seyyed Alireza Hashemi, Farhad Ahmadijokani, Milad Goodarzi, Hossein Riazi, Sameer E. Mhatre, Orysia Zaremba, Orlando J. Rojas, Masoud Soroush, Thomas P. Russell, Stefan Wuttke, Milad Kamkar, Mohammad Arjmand
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Janus structures have unique properties due to their distinct functionalities on opposing faces, but have yet to be realized with flowing liquids. We demonstrate such Janus liquids with a customizable distribution of nanoparticles (NPs) thro
Externí odkaz:
https://doaj.org/article/ce4727bbc7eb4d2eb9ded34ce90e8bc5
Autor:
Ahmadreza Ghaffarkhah, Seyyed Alireza Hashemi, Farhad Ahmadijokani, Milad Goodarzi, Hossein Riazi, Sameer E. Mhatre, Orysia Zaremba, Orlando Rojas, Masoud Soroush, Thomas Russell, Stefan Wuttke, Milad Kamkar, Mohammad Arjmand
Janus structures have unique properties due to their distinct functionalities on opposing faces, but have yet to be realized with flowing liquids. We demonstrate such Janus liquids with a programmable distribution of nanoparticles (NPs) throughout th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0df5b2e329eb308c42169c9547de1293
https://doi.org/10.21203/rs.3.rs-2636346/v1
https://doi.org/10.21203/rs.3.rs-2636346/v1
Publikováno v:
Inorg. Chem. Front.
RT formation of Hf and Ce UiO-66 derivatives is investigated using a one-step method where the linker and metal salt are simply combined, and a two-step method where the inorganic component is pre-heated to form metal clusters.
Autor:
Aleksander Ejsmont, Evelyn Ploetz, Mircea Dincă, Orysia Zaremba, Giel Arnauts, Ralph Freund, Grigorii Skorupskii, Jorge Gascon, Markus Kalmutzki, Anastasiya Bavykina, Stefan Wuttke, Ulrich Lächelt, Rob Ameloot, Christian Diercks, Joanna Gościańska
Publikováno v:
Angewandte Chemie International Edition. 60:23975-24001
The amalgamation of different disciplines is at the heart of reticular chemistry and has broadened the boundaries of chemistry by opening up an infinite space of chemical composition, structure, and material properties. Reticular design has enabled t
Autor:
Stefan Wuttke, Giel Arnauts, Orysia Zaremba, Christian S. Diercks, Ulrich Lächelt, Mircea Dincă, Markus Kalmutzki, Evelyn Ploetz, Joanna Goscianska, Ralph Freund, Jorge Gascon, Anastasiya Bavykina, Aleksander Ejsmont, Grigorii Skorupskii, Rob Ameloot
Publikováno v:
Angewandte Chemie. 133:24174-24202
Autor:
Frederik Haase, Mohamed Eddaoudi, Christof Wöll, Stefan Wuttke, David G. Madden, Yuanyuan Zhang, Lauren K. Macreadie, Christian S. Diercks, Vincent Guillerm, David Fairen-Jimenez, Zhe Ji, Wei Yan, Seth M. Cohen, Hexiang Deng, Hao Lyu, Stefano Canossa, Orysia Zaremba, Ralph Freund, Bo Wang, Jacopo Andreo
Publikováno v:
Angewandte Chemie. 133:24142-24173
Autor:
Jacopo Andreo, Romy Ettlinger, Orysia Zaremba, Quim Peña, Ulrich Lächelt, Roberto Fernández de Luis, Ralph Freund, Stefano Canossa, Evelyn Ploetz, Wei Zhu, Christian S. Diercks, Harald Gröger, Stefan Wuttke
The chemistry of metal-organic and covalent organic frameworks (MOFs and COFs) is perhaps the most diverse and inclusive among the chemical sciences, and yet it can be radically expanded by blending it with nanotechnology. The result is reticular nan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0982ac94caf73919d018c0a12586a5b
https://pub.uni-bielefeld.de/record/2962334
https://pub.uni-bielefeld.de/record/2962334
Autor:
Yi Luo, Saientan Bag, Orysia Zaremba, Adrian Cierpka, Jacopo Andreo, Stefan Wuttke, Pascal Friederich, Manuel Tsotsalas
Publikováno v:
Angewandte Chemie, 134 (19), Art.-Nr.: e202200242
Trotz großer Fortschritte auf dem Gebiet der metallorganischen Gerüststrukturen (MOF) ist das volle Potential des Maschinellen Lernens (ML) für die Vorhersage von MOF-Syntheseparametern bisher noch nicht erschlossen. In diesem Beitrag wird dargest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d871cee5f45081f47ecdcfbd7cc9de6
Autor:
Manuel Tsotsalas, Pascal Friederich, Saientan Bag, Yi Luo, Orysia Zaremba, Jacopo Andreo, Stefan Wuttke
Despite rapid progress in the field of metal-organic frameworks (MOFs), the potential of using machine learning (ML) methods to predict MOF synthesis parameters is still untapped. Here, we show how ML can be used for rationalization and acceleration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1347465ffd9cc71c526a21929fba6259
https://doi.org/10.33774/chemrxiv-2021-kgd0h
https://doi.org/10.33774/chemrxiv-2021-kgd0h
Autor:
Ralph Freund, Frederik Haase, Hexiang Deng, Seth M. Cohen, Mohamed Eddaoudi, David G. Madden, Jacopo Andreo, Bo Wang, Stefano Canossa, Vincent Guillerm, Orysia Zaremba, Christof Wöll, Wei Yan, Lauren K. Macreadie, Hao Lyu, David Fairen-Jimenez, Yuanyuan Zhang, Stefan Wuttke, Christian S. Diercks, Zhe Ji
Publikováno v:
Angewandte Chemie: international edition in English
Angewandte Chemie / International edition, 60 (45), 23946-23974
Angewandte Chemie / International edition, 60 (45), 23946-23974
At its core, reticular chemistry has translated the precision and expertise of organic and inorganic synthesis to the solid state. While initial excitement over metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) was undoubtedly