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Solvothermal Synthesis of MIL-96 and UiO-66-NH2 on Atomic Layer Deposited Metal Oxide Coatings on Fiber Mats

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MOFs with the Stability for Practical Gas Adsorption Applications Require New Design Rules.

Changhwan Oh^1,2, Aditya Nandy^1,3, Shuwen Yue¹

¹Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.

ACS Applied Materials & Interfaces

|October 4, 2024

Summary

This summary is machine-generated.

We computationally screened ultrastable metal-organic frameworks (MOFs) for greenhouse gas capture. Our machine learning models identified novel MOF designs with superior stability and adsorption properties for practical applications.

Keywords:

MOF gas storage machine learning metal−organic frameworks reticular chemistry separation stability

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Synthesis and Characterization of Functionalized Metal-organic Frameworks

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Synthesis and Characterization of Functionalized Metal-organic Frameworks

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

Area of Science:

Materials Science
Computational Chemistry
Chemical Engineering

Background:

Metal-organic frameworks (MOFs) show promise for greenhouse gas capture.
Computational discovery of MOFs often neglects material stability, hindering practical use.
Machine learning (ML) can predict MOF stability.

Purpose of the Study:

To computationally screen for stable MOFs with high gas adsorption capacity.
To identify design principles for enhanced greenhouse gas capture materials.
To bridge the gap between hypothetical and experimentally viable MOFs.

Main Methods:

Screening of ultrastable MOFs (USMOF DB) using ML for thermal and activation stability.
Calculation of bulk modulus for mechanical stability assessment.
Grand Canonical Monte Carlo simulations for gas (CO2, CH4) adsorption prediction.
ML model training on adsorption data to identify design rules.

Main Results:

1102 mechanically robust hypothetical MOFs were identified from the USMOF DB.
MOFs from USMOF DB exhibited superior working capacities compared to experimental MOFs.
Novel design rules for MOF gas adsorption were derived, distinct from those from existing experimental MOFs.
Key geometric features and node chemistries for enhanced adsorption were identified.

Conclusions:

Integrating stability predictions into computational MOF discovery is crucial for practical applications.
Ultrastable MOFs offer a promising avenue for designing advanced gas capture materials.
The identified design principles can guide the rational synthesis of high-performance MOFs for targeted applications.