ArticleMacromolecules2024
Unveiling Local Dynamics of a Triptycene-Based Porous Polymer by Solid-State NMR.
Article in Macromolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- PolyPal: A Python Package for Molecular Dynamics Simulation of Amorphous Polymers.Journal of chemical theory and computation · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
Membrane-based technologies for gas separation and capture are promising low-energy alternatives to the most common energy-consuming processes such as distillation and absorption. In this frame, porous polymers are attracting considerable interest, but issues related to a trade-off between permeability and selectivity as well as to the long-term stability of the membrane performances need to be overcome. To this end, the study of local dynamics is crucial as it directly correlates with the transport and separation characteristics of polymer-based membranes while also shedding light on plasticization and physical aging phenomena. This work presents a comprehensive characterization of the dynamic properties of a triptycene-based porous polymer with potential application in membrane-based gas separation technology by means of molecular dynamics (MD) simulations and solid-state NMR (SSNMR). The investigated polymer has triptycene-based structural repeating units bearing
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Registered trials
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