Effect of Inclusion of MOF-Polymer Composite onto a Carbon Foam Material for Hydrogen Storage Application

Molefe, Lerato; Musyoka, Nicholas M.; Ren, Jianwei; Langmi, Henrietta W.; Mathe, Mkhulu; Ndungu, Patrick

doi:10.1007/s10904-020-01701-8

Cited by 14 publications

(7 citation statements)

References 40 publications

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“…Hence, physical aging is the main limitation for their use in industrial separations . Apart from gas separation membranes, PIMs and PIMs-based composite materials also have a strong potential for a large number of applications, among many others water treatment, energy storage, redox flow batteries, fuel cells, H 2 storage, breathable materials, and sensors . More specifically, PIM-1/graphene materials have been reported for membrane pervaporation, , hydrogels for environmental remediation, and substrates/promoters for catalysis and for sensing …”

Section: Introductionmentioning

confidence: 99%

PIM-1/Holey Graphene Oxide Mixed Matrix Membranes for Gas Separation: Unveiling the Role of Holes

Luque-Alled

Tamaddondar

Foster

et al. 2021

ACS Appl. Mater. Interfaces

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PIM-1/holey graphene oxide (GO) mixed matrix membranes (MMMs) have been prepared and their gas separation performance for CO 2 /CH 4 mixtures assessed. Nanopores have been created in the basal plane of gas-impermeable GO by chemical etching reactions, and the resulting holey flakes have been further chemically functionalized, either with octadecylamine (ODA) or with PIM-1 moieties, to aid their dispersion in PIM-1. It is found that nanopores barely promote gas transport through the graphene-like nanofiller for fresh membranes (tested right after preparation); however, the prepared hybrid PIM-1/holey GO membranes exhibit higher CO 2 permeability and CO 2 /CH 4 selectivity than the pure polymer membrane 150 days after preparation and 13 and 15% higher CO 2 permeability for filler contents of 0.1% of octadecylaminefunctionalized holey GO and 1% of (PIM-1)-functionalized holey GO, respectively. The most significant improvement is observed for the mitigation of physical aging, as MMMs using 10% of (PIM-1)functionalized holey GO nanofillers are capable of maintaining up to 70% of their initial CO 2 permeability after 150 days, whereas only 53% is kept for pure PIM-1 after the same period. The gas permeability of the nanofiller has been rationalized with the aid of the Maxwell−Wagner−Sillars equation.

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Section: Introductionmentioning

confidence: 99%

PIM-1/Holey Graphene Oxide Mixed Matrix Membranes for Gas Separation: Unveiling the Role of Holes

Luque-Alled

Tamaddondar

Foster

et al. 2021

ACS Appl. Mater. Interfaces

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“…As an alternative to metal foams, carbon foams have a similar pore size range and porosity, therefore ensuring adequate gas flow/transport as a flow field configuration in PEM fuel cell applications. In fact, carbon foams have been widely applied in the fields of thermal energy storage, 147 batteries and electrodes, 148 oil sorption, 149 electromagnetic interference (EMI), 150 and hydrogen storage 151 due to their superior properties, such as high thermal conductivity, low specific weight, low density, large specific surface area, surface hydrophobicity, and high temperature stability. In comparison with metal foams, carbon foams show excellent corrosion resistance under acidic conditions in PEM fuel cells.…”

Section: Foam Materialsmentioning

confidence: 99%

Porous Flow Field for Next-Generation Proton Exchange Membrane Fuel Cells: Materials, Characterization, Design, and Challenges

Zhang

Tao

et al. 2022

Chem. Rev.

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Porous flow fields distribute fuel and oxygen for the electrochemical reactions of proton exchange membrane (PEM) fuel cells through their pore network instead of conventional flow channels. This type of flow fields has showed great promises in enhancing reactant supply, heat removal, and electrical conduction, reducing the concentration performance loss and improving operational stability for fuel cells. This review presents the research and development progress of porous flow fields with insights for next-generation PEM fuel cells of high power density (e.g., ∼9.0 kW L–1). Materials, fabrication methods, fundamentals, and fuel cell performance associated with porous flow fields are discussed in depth. Major challenges are described and explained, along with several future directions, including separated gas/liquid flow configurations, integrated porous structure, full morphology modeling, data-driven methods, and artificial intelligence-assisted design/optimization.

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“…Metal–organic frameworks (MOFs) are a class of crystalline materials consisting of a lattice of metal ions co-ordinately bonded by organic linkers. MOFs are well known for their high surface areas and exceptionally tunable properties, which enable their potential application in areas including gas storage, − sensing, − separations, − drug delivery, − and catalysis. − Since the first MOFs were synthesized in the 1990s, thousands of MOFs have been produced at a laboratory scale. As of 2023, more than 100,000 MOF structures have been reported in the Cambridge Structural Database (CSD). , The sheer volume of distinct real MOF materials poses significant challenges for screening and isolating the best candidates for a given application: a typical problem of finding a needle in a haystack.…”

Section: Introductionmentioning

confidence: 99%

DigiMOF: A Database of Metal–Organic Framework Synthesis Information Generated via Text Mining

Glasby,

Gubsch,

Bence

et al. 2023

Chem. Mater.

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The vastness of materials space, particularly that which is concerned with metal−organic frameworks (MOFs), creates the critical problem of performing efficient identification of promising materials for specific applications. Although highthroughput computational approaches, including the use of machine learning, have been useful in rapid screening and rational design of MOFs, they tend to neglect descriptors related to their synthesis. One way to improve the efficiency of MOF discovery is to data-mine published MOF papers to extract the materials informatics knowledge contained within journal articles. Here, by adapting the chemistry-aware natural language processing tool, ChemDataExtractor (CDE), we generated an open-source database of MOFs focused on their synthetic properties: the DigiMOF database. Using the CDE web scraping package alongside the Cambridge Structural Database (CSD) MOF subset, we automatically downloaded 43,281 unique MOF journal articles, extracted 15,501 unique MOF materials, and text-mined over 52,680 associated properties including the synthesis method, solvent, organic linker, metal precursor, and topology. Additionally, we developed an alternative data extraction technique to obtain and transform the chemical names assigned to each CSD entry in order to determine linker types for each structure in the CSD MOF subset. This data enabled us to match MOFs to a list of known linkers provided by Tokyo Chemical Industry UK Ltd. (TCI) and analyze the cost of these important chemicals. This centralized, structured database reveals the MOF synthetic data embedded within thousands of MOF publications and contains further topology, metal type, accessible surface area, largest cavity diameter, pore limiting diameter, open metal sites, and density calculations for all 3D MOFs in the CSD MOF subset. The DigiMOF database and associated software are publicly available for other researchers to rapidly search for MOFs with specific properties, conduct further analysis of alternative MOF production pathways, and create additional parsers to search for additional desirable properties.

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Effect of Inclusion of MOF-Polymer Composite onto a Carbon Foam Material for Hydrogen Storage Application

Cited by 14 publications

References 40 publications

PIM-1/Holey Graphene Oxide Mixed Matrix Membranes for Gas Separation: Unveiling the Role of Holes

PIM-1/Holey Graphene Oxide Mixed Matrix Membranes for Gas Separation: Unveiling the Role of Holes

Porous Flow Field for Next-Generation Proton Exchange Membrane Fuel Cells: Materials, Characterization, Design, and Challenges

DigiMOF: A Database of Metal–Organic Framework Synthesis Information Generated via Text Mining

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