Tuning water adsorption, stability, and phase in Fe-MIL-101 and Fe-MIL-88 analogs with amide functionalization

2021 ◽  
Author(s):  
Andrew Kuznicki ◽  
Gregory Lorzing ◽  
Eric D Bloch
Keyword(s):  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
High Tunability ◽  
Metal Organic

Metal-organic frameworks (MOFs) of the MIL series of materials have been widely studied as a result of their high tunability and the diversity of structure types that exist for these...

Underoil superhydrophilic surfaces: water adsorption in metal–organic frameworks

2018 ◽  
Vol 6 (4) ◽  
pp. 1692-1699 ◽  
Author(s):  
Mingming Liu ◽  
Lu Tie ◽  
Jing Li ◽  
Yuanyuan Hou ◽  
Zhiguang Guo
Keyword(s):  
Crude Oil ◽  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
Building Blocks ◽  
Water Filtration ◽  
On Demand ◽  
Emulsion Separation ◽  
Metal Organic ◽  
Self Cleaning ◽  
Superhydrophilic Surfaces

Inspired by sarcocarps, metal–organic frameworks (MOFs) that can capture moisture spontaneously are presented as building blocks for the construction of underoil superhydrophilic surfaces. The MOF coating showed excellent self-cleaning properties to crude oil under water, and achieved on-demand emulsion separation through selective water filtration and adsorption.

scholarly journals Failure-Experiment-Supported Optimization of Poorly-Reproducible Synthetic Conditions for Novel Lanthanide Metal-Organic Frameworks

2020 ◽  
Author(s):  
Yu Kitamura ◽  
Emi Terado ◽  
Zechen Zhang ◽  
Hirofumi Yoshikawa ◽  
Tomoko Inose ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
Machine Learning Techniques ◽  
Initial Screening ◽  
Impedance Measurements ◽  
Screening Experiments ◽  
Learning Techniques ◽  
Metal Organic ◽  
Lanthanide Metal

A series of novel metal organic frameworks with lanthanide double-layer-based inorganic subnetworks (KGF-3) was synthesized assisted by machine learning. Pure KGF-3 was difficult to isolate in the initial screening experiments. The synthetic conditions were successfully optimized by extracting the dominant factors for KGF-3 synthesis using two machine-learning techniques. Cluster analysis was used to classify the obtained PXRD patterns of the products and to decide automatically whether the experiments were successful or had failed. Decision tree analysis was used to visualize the experimental results, with the factors that mainly affected the synthetic reproducibility being extracted. The water adsorption isotherm revealed that KGF-3 possesses unique hydrophilic pores, and impedance measurements demonstrated good proton conductivities (σ = 5.2 × 10<sup>−4</sup> S cm<sup>−1</sup> for KGF-3(Y)) at a high temperature (363 K) and high relative humidity (95%).<br>

scholarly journals Failure-Experiment-Supported Optimization of Poorly-Reproducible Synthetic Conditions for Novel Lanthanide Metal-Organic Frameworks

2021 ◽  
Author(s):  
Yu Kitamura ◽  
Emi Terado ◽  
Zechen Zhang ◽  
Hirofumi Yoshikawa ◽  
Tomoko Inose ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
Machine Learning Techniques ◽  
Initial Screening ◽  
Impedance Measurements ◽  
Screening Experiments ◽  
Learning Techniques ◽  
Metal Organic ◽  
Lanthanide Metal

A series of novel metal organic frameworks with lanthanide double-layer-based inorganic subnetworks (KGF-3) was synthesized assisted by machine learning. Pure KGF-3 was difficult to isolate in the initial screening experiments. The synthetic conditions were successfully optimized by extracting the dominant factors for KGF-3 synthesis using two machine-learning techniques. Cluster analysis was used to classify the obtained PXRD patterns of the products and to decide automatically whether the experiments were successful or had failed. Decision tree analysis was used to visualize the experimental results, with the factors that mainly affected the synthetic reproducibility being extracted. The water adsorption isotherm revealed that KGF-3 possesses unique hydrophilic pores, and impedance measurements demonstrated good proton conductivities (σ = 5.2 × 10<sup>−4</sup> S cm<sup>−1</sup> for KGF-3(Y)) at a high temperature (363 K) and high relative humidity (95%).<br>

Core-Shell Metal-Organic Frameworks with Improving Cyclic Stability for Water Adsorption

2020 ◽  
Vol 53 (8) ◽  
pp. 376-382
Author(s):  
Jiun-Jen Chen ◽  
Hau-Che Chiu ◽  
Chao-Wen Chang ◽  
Chang-Yi Shen ◽  
Yu-Hao Kang ◽  
...  
Keyword(s):  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
Core Shell ◽  
Cyclic Stability ◽  
Metal Organic

scholarly journals Synthesis, structure and water sorption in Zr metal-organic frameworks

2014 ◽  
Vol 70 (a1) ◽  
pp. C1240-C1240
Author(s):  
Felipe Gándara ◽  
Hiroyasu Furukawa ◽  
Zhang Yue-Biao ◽  
Juncong Jiang ◽  
Wendy Queen ◽  
...  
Keyword(s):  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
Adsorbed Water ◽  
Neutron Diffraction Study ◽  
Water Molecules ◽  
Remote Areas ◽  
Adsorption Sites ◽  
Thermal Batteries ◽  
Secondary Building Units ◽  
Metal Organic

Metal-organic frameworks (MOFs) based on zirconium secondary building units (SBUs) have proven to have great thermal and chemical stability,[1,2] which make them ideal for their use in different applications. We have prepared a series of six new MOFs made from the Zr6O4(OH)4(-CO2)nsecondary building units (n = 6, 8, 10, or 12) and variously shaped carboxyl organic linkers to make extended porous frameworks, with the aim of studying their performance as water adsorbents. Thus, we have evaluated the water adsorption properties of these new MOFs and other reported porous materials to identify the compounds with the most promising materials for use in applications such as thermal batteries or delivery of drinking water in remote areas. An X-ray single-crystal and a powder neutron diffraction study reveal the position of the water adsorption sites in one of the best performing materials, and highlight the importance of the intermolecular interactions between adsorbed water molecules within the pores.

Coordination distortion induced water adsorption in hydrophobic flexible metal–organic frameworks

2020 ◽  
Vol 56 (64) ◽  
pp. 9106-9109
Author(s):  
Yoshinobu Kamakura ◽  
Arata Hikawa ◽  
Hirofumi Yoshikawa ◽  
Wataru Kosaka ◽  
Hitoshi Miyasaka ◽  
...  
Keyword(s):  
Metal Ions ◽  
Water Adsorption ◽  
Metal Organic Frameworks ◽  
Adsorption Properties ◽  
Metal Species ◽  
Metal Organic ◽  
Flexible Metal

The water-adsorption properties of four isostructural hydrophobic metal-organic frameworks are dependent on the metal species, which was revealed to be caused by coordination distortion around the metal ions.

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