Evidence map›Paper›PMID 42303612›Full record

ArticleNature communications2026

Molecular diffusion enhanced performance evaluation of metal-organic frameworks for CO

Rodrigo Neumann Barros Ferreira, Yogesh V Joshi, Felipe Lopes Oliveira, Anantha Sundaram, Ashish B Mhadeshwar, Jayashree Kalyanaraman, Binquan Luan, Mathias B Steiner

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Rodrigo Neumann Barros Ferreira *IBM Research, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-4435-0507
Yogesh V Joshi *ExxonMobil Technology and Engineering Company, Annadale, NJ, USA.ORCID http://orcid.org/0009-0004-8951-6229
Felipe Lopes OliveiraIBM Research, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-2231-4567
Anantha SundaramExxonMobil Technology and Engineering Company, Annadale, NJ, USA.
Ashish B MhadeshwarExxonMobil Technology and Engineering Company, Annadale, NJ, USA.
Jayashree KalyanaramanExxonMobil Technology and Engineering Company, Annadale, NJ, USA.
Binquan LuanIBM Research, Yorktown Heights, NY, USA.ORCID http://orcid.org/0000-0002-9414-5379
Mathias B SteinerIBM Research, Rio de Janeiro, RJ, Brazil. mathiasbsteiner@gmail.com.ORCID http://orcid.org/0000-0003-1528-9292

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brazilian Federal Agency for the Support and Evaluation of Graduate Education) 001
6 · The paper itself

Abstract

Molecular diffusion is a fundamental property that limits the performance of solid sorbents in carbon dioxide capture and separation applications. Unique to each sorbent, gas diffusion is determined by the physical and chemical interactions that occur between the gas molecules and a sorbent's surface atoms. At the process level where carbon dioxide capture performance is validated, however, simulations are typically carried out using generalized parameters that omit the structure-specific, molecular kinetics occurring in each sorbent. Here, we report process-scale simulations of carbon dioxide capture performance in metal-organic frameworks (MOF) informed by molecular adsorption predictions that represent the unique structural properties of each MOF. By evaluating a total of 10,143 MOFs for post-combustion carbon dioxide capture, we demonstrate how the inclusion of the material-specific, molecular diffusion dynamics alters their simulated, process-level performance. The method could be applied to evaluate a broader class of solid sorbents, including covalent organic frameworks and zeolites.

Identifiers

PMID42303612
PMCPMC13434109

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.