Air-to-air enthalpy exchangers: Membrane modification using metal-organic frameworks, characterisation and performance assessment

2021 ◽  
Vol 293 ◽  
pp. 126157
Author(s):  
Ahmed K. Albdoor ◽  
Zhenjun Ma ◽  
Paul Cooper ◽  
Fatimah Al-Ghazzawi ◽  
Jingjing Liu ◽  
...  
Keyword(s):  
Performance Assessment ◽  
Metal Organic Frameworks ◽  
Membrane Modification ◽  
Metal Organic ◽  
And Performance

Solvent-assisted ligand exchange (SALE) for the enhancement of epoxide ring-opening reaction catalysis based on three amide-functionalized metal–organic frameworks

2019 ◽  
Vol 48 (24) ◽  
pp. 8803-8814 ◽  
Author(s):  
Maniya Gharib ◽  
Leili Esrafili ◽  
Ali Morsali ◽  
Pascal Retailleau
Keyword(s):  
Ligand Exchange ◽  
Ring Opening ◽  
Metal Organic Frameworks ◽  
Epoxide Ring ◽  
Epoxide Ring Opening ◽  
Ring Opening Reaction ◽  
Metal Organic ◽  
And Performance

In recent years, functionalized pillar ligands have gained significant interests due to their important role in MOF structure and performance.

Constructing metallic zinc–cobalt sulfide hierarchical core–shell nanosheet arrays derived from 2D metal–organic-frameworks for flexible asymmetric supercapacitors with ultrahigh specific capacitance and performance

2019 ◽  
Vol 7 (12) ◽  
pp. 7138-7150 ◽  
Author(s):  
Wei Sun ◽  
Yuchuan Du ◽  
Guangming Wu ◽  
Guohua Gao ◽  
Han Zhu ◽  
...  
Keyword(s):  
Electrode Materials ◽  
Metal Organic Frameworks ◽  
Cobalt Sulfide ◽  
Core Shell ◽  
Metallic Zinc ◽  
Asymmetric Supercapacitors ◽  
Nanosheet Arrays ◽  
Metal Organic ◽  
And Performance ◽  
Low Capacitance

Electrode materials of flexible asymmetric supercapacitors are usually suffers from low capacitance and sluggish kinetics.

Impacts of Metal–Organic Frameworks on Structure and Performance of Polyamide Thin-Film Nanocomposite Membranes

2019 ◽  
Vol 11 (14) ◽  
pp. 13724-13734 ◽  
Author(s):  
Yang-ying Zhao ◽  
Yan-ling Liu ◽  
Xiao-mao Wang ◽  
Xia Huang ◽  
Yuefeng F. Xie
Keyword(s):  
Thin Film ◽  
Metal Organic Frameworks ◽  
Nanocomposite Membranes ◽  
Metal Organic ◽  
And Performance ◽  
Thin Film Nanocomposite

Megamerger of MOFs and g-C3N4 for energy and environment applications: upgrading the framework stability and performance

2020 ◽  
Vol 8 (35) ◽  
pp. 17883-17906 ◽  
Author(s):  
Gaoxia Zhang ◽  
Danlian Huang ◽  
Min Cheng ◽  
Lei Lei ◽  
Sha Chen ◽  
...  
Keyword(s):  
Pore Size ◽  
Surface Area ◽  
Metal Organic Frameworks ◽  
Large Surface Area ◽  
Energy And Environment ◽  
Metal Organic ◽  
And Performance

Metal–organic frameworks (MOFs) possess large surface area, adjustable pore size and synthetic adaptability which make them promising candidates for diverse applications.

High-throughput computational screening of metal–organic frameworks

2014 ◽  
Vol 43 (16) ◽  
pp. 5735-5749 ◽  
Author(s):  
Yamil J. Colón ◽  
Randall Q. Snurr
Keyword(s):  
High Throughput ◽  
Metal Organic Frameworks ◽  
Structure Property ◽  
Performance Limits ◽  
Structure Property Relationships ◽  
Computational Screening ◽  
Metal Organic ◽  
And Performance

High-throughput computational screening of MOFs allows identification of promising candidates, new structure–property relationships, and performance limits.

Metal−organic frameworks of linear trinuclear cluster secondary building units: Structures and applications

2021 ◽  
Author(s):  
Meng-Yao Chao ◽  
Qing Li ◽  
Wen-Hua Zhang ◽  
David James Young
Keyword(s):  
Metal Organic Frameworks ◽  
Trinuclear Cluster ◽  
Secondary Building Units ◽  
Metal Organic ◽  
And Performance

Secondary building units (SBUs) in metal−organic frameworks (MOFs) are essential from both a structural and performance perspective. While a variety of SBUs, such as paddlewheel CuII2, triangular CrIII3, tetrahedral ZnII4,...

scholarly journals Machine Learning-Assisted Computational Screening of Metal-Organic Frameworks for Atmospheric Water Harvesting

Nanomaterials ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 159
Author(s):  
Lifeng Li ◽  
Zenan Shi ◽  
Hong Liang ◽  
Jie Liu ◽  
Zhiwei Qiao
Keyword(s):  
Machine Learning ◽  
High Performance ◽  
Univariate Analysis ◽  
Metal Organic Frameworks ◽  
Boosted Regression Trees ◽  
Water Harvesting ◽  
Atmospheric Water ◽  
Computational Screening ◽  
Metal Organic ◽  
And Performance

Atmospheric water harvesting by strong adsorbents is a feasible method of solving the shortage of water resources, especially for arid regions. In this study, a machine learning (ML)-assisted high-throughput computational screening is employed to calculate the capture of H2O from N2 and O2 for 6013 computation-ready, experimental metal-organic frameworks (CoRE-MOFs) and 137,953 hypothetical MOFs (hMOFs). Through the univariate analysis of MOF structure-performance relationships, Qst is shown to be a key descriptor. Moreover, three ML algorithms (random forest, gradient boosted regression trees, and neighbor component analysis (NCA)) are applied to hunt for the complicated interrelation between six descriptors and performance. After the optimizing strategy of grid search and five-fold cross-validation is performed, three ML can effectively build the predictive model for CoRE-MOFs, and the accuracy R2 of NCA can reach 0.97. In addition, based on the relative importance of the descriptors by ML, it can be quantitatively concluded that the Qst is dominant in governing the capture of H2O. Besides, the NCA model trained by 6013 CoRE-MOFs can predict the selectivity of hMOFs with a R2 of 0.86, which is more universal than other models. Finally, 10 CoRE-MOFs and 10 hMOFs with high performance are identified. The computational screening and prediction of ML could provide guidance and inspiration for the development of materials for water harvesting in the atmosphere.

scholarly journals Chitosan-impregnated Sod-Metal Organic Frameworks (Sod-ZMOF) for CO2 Capture: Synthesis and Performance Evaluation

2017 ◽  
Vol 114 ◽  
pp. 2429-2440 ◽  
Author(s):  
Muofhe C. Singo ◽  
Xitivhane C. Molepo ◽  
Olugbenga O. Oluwasina ◽  
Michael O. Daramola
Keyword(s):  
Performance Evaluation ◽  
Co2 Capture ◽  
Metal Organic Frameworks ◽  
Metal Organic ◽  
And Performance
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