ArticleIndustrial & engineering chemistry research2023
Computational Investigation of Dual Filler-Incorporated Polymer Membranes for Efficient CO
Article in Industrial & engineering chemistry research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 33 citations in OpenAlex.
- Therapeutic Metal Ions: Engineering Biomaterials for Multimodal Disease Treatment.International journal of nanomedicine · 2026Review
- Article
- Facilitating Screening of MOFs for Mixed Matrix Membranes Using Machine Learning and the Maxwell Model.The journal of physical chemistry. C, Nanomaterials and interfaces · 2025Article
- Covalent integration of polymers and porous organic frameworks.Frontiers in chemistry · 2024Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mixed matrix membranes (MMMs) composed of two different fillers such as metal-organic frameworks (MOFs) and covalent-organic frameworks (COFs) embedded into polymers provide enhanced gas separation performance. Since it is not possible to experimentally consider all possible combinations of MOFs, COFs, and polymers, developing computational methods is urgent to identify the best performing MOF-COF pairs to be used as dual fillers in polymer membranes for target gas separations. With this motivation, we combined molecular simulations of gas adsorption and diffusion in MOFs and COFs with theoretical permeation models to calculate H
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.