Evidence map›Paper›PMID 34374527›Full record

ArticleChemical reviews2021

Performance-Based Screening of Porous Materials for Carbon Capture.

Amir H Farmahini, Shreenath Krishnamurthy, Daniel Friedrich, Stefano Brandani, Lev Sarkisov

Abstract read
In one paragraph

Article in Chemical reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Metal-Organic Frameworks for CONanomaterials (Basel, Switzerland) · 2026
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Calcium Alginate Aerogel-MIL160 Nanocomposites for COLangmuir : the ACS journal of surfaces and colloids · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. 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

5 authors.

Amir H FarmahiniDepartment of Chemical Engineering and Analytical Science, School of Engineering, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID 0000-0002-6686-8588
Shreenath KrishnamurthyProcess Technology Department, SINTEF Industry, Oslo 0373, Norway.ORCID 0000-0002-9584-6804
Daniel FriedrichSchool of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3FB, United Kingdom.ORCID 0000-0002-3951-2201
Stefano BrandaniSchool of Engineering, Institute of Materials and Processes, The University of Edinburgh, Sanderson Building, Edinburgh EH9 3FB, United Kingdom.ORCID 0000-0001-9470-6837
Lev SarkisovDepartment of Chemical Engineering and Analytical Science, School of Engineering, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID 0000-0001-7637-7670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational screening methods have changed the way new materials and processes are discovered and designed. For adsorption-based gas separations and carbon capture, recent efforts have been directed toward the development of multiscale and performance-based screening workflows where we can go from the atomistic structure of an adsorbent to its equilibrium and transport properties at different scales, and eventually to its separation performance at the process level. The objective of this work is to review the current status of this new approach, discuss its potential and impact on the field of materials screening, and highlight the challenges that limit its application. We compile and introduce all the elements required for the development, implementation, and operation of multiscale workflows, hence providing a useful practical guide and a comprehensive source of reference to the scientific communities who work in this area. Our review includes information about available materials databases, state-of-the-art molecular simulation and process modeling tools, and a complete catalogue of data and parameters that are required at each stage of the multiscale screening. We thoroughly discuss the challenges associated with data availability, consistency of the models, and reproducibility of the data and, finally, propose new directions for the future of the field.

Identifiers

PMID34374527
PMCPMC8431366

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.