Three microporous metal–organic frameworks assembled from dodecanuclear {NiII6LnIII6} subunits: synthesis, structure, gas adsorption and magnetism

2018 ◽  
Vol 47 (43) ◽  
pp. 15344-15352 ◽  
Author(s):  
Dan-Dan Feng ◽  
Hui-Ming Dong ◽  
Zheng-Yu Liu ◽  
Xiao-Jun Zhao ◽  
En-Cui Yang

Three microporous MOFs with two different orientated {NiIILnIII}6 subunits exhibit high LnIII-independent gas uptake and absorption selectivity for CO2 as well as LnIII-dominated slow magnetic relaxation and a magnetic cryogenic magnetocaloric effect.

2020 ◽  
Vol 20 (6) ◽  
pp. 4005-4012 ◽  
Author(s):  
Jia-Jia Yin ◽  
Tian-Qi Lu ◽  
Cheng Chen ◽  
Gui-Lin Zhuang ◽  
Jun Zheng ◽  
...  

2021 ◽  
Vol 21 (10) ◽  
pp. 5678-5686
Author(s):  
Jing-hua Han ◽  
Bing-qian Hu ◽  
Tangming Li ◽  
Hao Liang ◽  
Fan Yu ◽  
...  

Author(s):  
Bo Li ◽  
Jian-Peng Dong ◽  
Zhe Zhou ◽  
Rui Wang ◽  
Li-Ya Wang ◽  
...  

A robust lanthanide MOF platform displays all-in-one multifunction, including excellent gas uptake and separation, tunable light emission and efficient luminescence sensing.


RSC Advances ◽  
2015 ◽  
Vol 5 (113) ◽  
pp. 92980-92987 ◽  
Author(s):  
Cai-Ming Liu ◽  
De-Qing Zhang ◽  
Xiang Hao ◽  
Dao-Ben Zhu

The isostructural 2D lanthanide coordination polymers may exhibit either luminescence or slow magnetic relaxation, depending on the lanthanide ions.


2016 ◽  
Vol 55 (13) ◽  
pp. 6592-6596 ◽  
Author(s):  
Yun-Long Wu ◽  
Fu-Sheng Guo ◽  
Guo-Ping Yang ◽  
Lu Wang ◽  
Jun-Cheng Jin ◽  
...  

2020 ◽  
Author(s):  
Ali Raza ◽  
Arni Sturluson ◽  
Cory Simon ◽  
Xiaoli Fern

Virtual screenings can accelerate and reduce the cost of discovering metal-organic frameworks (MOFs) for their applications in gas storage, separation, and sensing. In molecular simulations of gas adsorption/diffusion in MOFs, the adsorbate-MOF electrostatic interaction is typically modeled by placing partial point charges on the atoms of the MOF. For the virtual screening of large libraries of MOFs, it is critical to develop computationally inexpensive methods to assign atomic partial charges to MOFs that accurately reproduce the electrostatic potential in their pores. Herein, we design and train a message passing neural network (MPNN) to predict the atomic partial charges on MOFs under a charge neutral constraint. A set of ca. 2,250 MOFs labeled with high-fidelity partial charges, derived from periodic electronic structure calculations, serves as training examples. In an end-to-end manner, from charge-labeled crystal graphs representing MOFs, our MPNN machine-learns features of the local bonding environments of the atoms and learns to predict partial atomic charges from these features. Our trained MPNN assigns high-fidelity partial point charges to MOFs with orders of magnitude lower computational cost than electronic structure calculations. To enhance the accuracy of virtual screenings of large libraries of MOFs for their adsorption-based applications, we make our trained MPNN model and MPNN-charge-assigned computation-ready, experimental MOF structures publicly available.<br>


2020 ◽  
Vol 124 (49) ◽  
pp. 26801-26813
Author(s):  
Dayton J. Vogel ◽  
Zachary R. Lee ◽  
Caitlin A. Hanson ◽  
Susan E. Henkelis ◽  
Caris M. Smith ◽  
...  

2016 ◽  
Vol 138 (10) ◽  
pp. 3371-3381 ◽  
Author(s):  
Yong Yan ◽  
Michal Juríček ◽  
François-Xavier Coudert ◽  
Nicolaas A. Vermeulen ◽  
Sergio Grunder ◽  
...  

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