Evidence map›Paper›PMID 35030018›Full record

ArticleScience advances2022

Machine learning reveals key ion selectivity mechanisms in polymeric membranes with subnanometer pores.

Cody L Ritt, Mingjie Liu, Tuan Anh Pham, Razi Epsztein, Heather J Kulik, Menachem Elimelech

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.9field-weighted citation impact, top 1% of its field
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

22 citing papers in PubMed, 113 citations in OpenAlex.

  1. Review
  2. Article
  3. From Molecules to Modules: Advanced Characterization of Membrane Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  4. Review
  5. Backflow HNature communications · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Solvation Free Energies from Machine Learning Molecular Dynamics.Journal of chemical theory and computation · 2024
    Article
  15. Review
  16. Article
  17. Review
  18. Aquatic Functional Liquid Crystals: Design, Functionalization, and Molecular Simulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  19. Article
  20. Review
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 at 4 institutions in 2 countries.

Cody L RittDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.ORCID 0000-0002-3215-1685
Mingjie LiuDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-5341-4448
Tuan Anh PhamQuantum Simulations Group, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0003-0025-7263
Razi EpszteinFaculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.ORCID 0000-0002-4248-6737
Heather J KulikDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-9342-0191
Menachem ElimelechDepartment of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.ORCID 0000-0003-4186-1563
Massachusetts Institute of Technology · USYale University · USLawrence Livermore National Laboratory · USTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing single-species selective membranes for high-precision separations requires a fundamental understanding of the molecular interactions governing solute transport. Here, we comprehensively assess molecular-level features that influence the separation of 18 different anions by nanoporous cellulose acetate membranes. Our analysis identifies the limitations of bulk solvation characteristics to explain ion transport, highlighted by the poor correlation between hydration energy and the measured permselectivity (

Identifiers

PMID35030018
PMCPMC8759746
OpenAlexW4205711362

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.