Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Meng-Jia Yin"'
Publikováno v:
Nano Research. 16:2536-2542
Publikováno v:
Inorganic Chemistry, 60(5), 3447-3451. American Chemical Society
Removal of trace SO2 from an SO2-containing product is now receiving increasing attention. However, designing a robust porous adsorbent with high SO2 adsorption capacity and good SO2/CO2 selectivity, as well as validity under humid conditions, is sti
Autor:
Ya Ling Fan, Ming Biao Luo, Xue Feng Feng, Li Wang, Feng Luo, Meng Jia Yin, Hui Ping Zhang, Rajamani Krishna
Publikováno v:
Inorganic Chemistry, 60(1), 4-8. American Chemical Society
Herein, we report a new metal–organic framework (MOF), namely, ECUT-77, which is built on rod-shaped secondary building units, showing a high Brunauer–Emmett–Teller surface area of 760.3 cm2/g, a pore volume of 0.4 cm3/g, and an aperture of abo
Publikováno v:
Crystal Growth & Design. 20:3605-3610
In this work, we report a novel thorium metal–organic framework, [NH2(CH3)][Th2(H2O)2(L)3] (namely, ECUT-36, H3L = 4,4′,4′′-nitrilotribenzoic acid), built on a new Th2 building block, showing a 3,9...
Publikováno v:
Inorganic Chemistry. 59:5271-5275
We report for the first time the construction of mechanoresponsive and redox-active metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) by anchoring ferrocene (Fc) pendants as mechanophores in the pore wall. This work outlines a si
Autor:
Hui-ping Zhang, Le-le Gong, Meng-jia Yin, Xiao-hong Xiong, Qing-yun Zhang, Xue-feng Feng, Feng Luo, Jared B. Carney, Yanfeng Yue
Publikováno v:
Cell Reports Physical Science. 3:100830
Publikováno v:
Inorganic chemistry. 60(5)
Removal of trace SO
Autor:
Ya Ling, Fan, Hui Ping, Zhang, Meng Jia, Yin, Rajamani, Krishna, Xue Feng, Feng, Li, Wang, Ming Biao, Luo, Feng, Luo
Publikováno v:
Inorganic chemistry. 60(1)
Herein, we report a new metal-organic framework (MOF), namely
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9781447148494
Graphics processing units (GPUs) have been used in the general-purpose computation field. Sparse matrix–vector multiplication (SpMV) algorithm is one of the most important scientific computing kernel algorithms. In this paper, we discuss implementi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::183a9cf14d83cef2a5904279bb769251
https://doi.org/10.1007/978-1-4471-4850-0_71
https://doi.org/10.1007/978-1-4471-4850-0_71