Evidence map›Paper›PMID 36968535›Full record

ArticleACS central science2023

How Segmental Dynamics and Mesh Confinement Determine the Selective Diffusivity of Molecules in Cross-Linked Dense Polymer Networks.

Baicheng Mei, Tsai-Wei Lin, Grant S Sheridan, Christopher M Evans, Charles E Sing, Kenneth S Schweizer

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Article in ACS central science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Particle-Nanofiber Superstructures.Accounts of materials research · 2026
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Baicheng MeiDepartment of Materials Science, University of Illinois, Urbana, Illinois 61801, United States.ORCID https://orcid.org/0000-0003-0289-248X
Tsai-Wei LinDepartment of Chemical & Biomolecular Engineering, University of Illinois, Urbana, Illinois 61801, United States.
Grant S SheridanDepartment of Materials Science, University of Illinois, Urbana, Illinois 61801, United States.
Christopher M EvansDepartment of Materials Science, University of Illinois, Urbana, Illinois 61801, United States.ORCID https://orcid.org/0000-0003-0668-2500
Charles E SingDepartment of Materials Science, University of Illinois, Urbana, Illinois 61801, United States.ORCID https://orcid.org/0000-0001-7231-2685
Kenneth S SchweizerDepartment of Materials Science, University of Illinois, Urbana, Illinois 61801, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diffusion of molecules ("penetrants") of variable size, shape, and chemistry through dense cross-linked polymer networks is a fundamental scientific problem broadly relevant in materials, polymer, physical, and biological chemistry. Relevant applications include separation membranes, barrier materials, drug delivery, and nanofiltration. A major open question is the relationship between transport, thermodynamic state, and penetrant and polymer chemical structure. Here we combine experiment, simulation, and theory to unravel these competing effects on penetrant transport in rubbery and supercooled polymer permanent networks over a wide range of cross-link densities, size ratios, and temperatures. The crucial importance of the coupling of local penetrant hopping to polymer structural relaxation and the secondary importance of mesh confinement effects are established. Network cross-links strongly slow down nm-scale polymer relaxation, which greatly retards the activated penetrant diffusion. The demonstrated good agreement between experiment, simulation, and theory provides strong support for the size ratio (penetrant diameter to the polymer Kuhn length) as a key variable and the usefulness of coarse-grained simulation and theoretical models that average over Angstrom scale structure. The developed theory provides an understanding of the physical processes underlying the behaviors observed in experiment and simulation and suggests new strategies for enhancing selective polymer membrane design.

Identifiers

PMID36968535
PMCPMC10037493

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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.