Evidence map›Paper›PMID 39723710›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2025

Computational Modeling of Reticular Materials: The Past, the Present, and the Future.

Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

4 authors.

Wim TemmermanCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, Zwijnaarde, 9052, Belgium.
Ruben GoeminneCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, Zwijnaarde, 9052, Belgium.
Kuber Singh RawatCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, Zwijnaarde, 9052, Belgium.
Veronique Van SpeybroeckCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, Zwijnaarde, 9052, Belgium.ORCID https://orcid.org/0000-0003-2206-178X

Funding

European Research CouncilFlanders Industry Innovation Moonshot HBC.2020.2612Fund for Scientific Research - FlandersResearch Board of Ghent University GOA010-17Research Fund of Ghent University
6 · The paper itself

Abstract

Reticular materials rely on a unique building concept where inorganic and organic building units are stitched together giving access to an almost limitless number of structured ordered porous materials. Given the versatility of chemical elements, underlying nets, and topologies, reticular materials provide a unique platform to design materials for timely technological applications. Reticular materials have now found their way in important societal applications, like carbon capture to address climate change, water harvesting to extract atmospheric moisture in arid environments, and clean energy applications. Combining predictions from computational materials chemistry with advanced experimental characterization and synthesis procedures unlocks a design strategy to synthesize new materials with the desired properties and functions. Within this review, the current status of modeling reticular materials is addressed and supplemented with topical examples highlighting the necessity of advanced molecular modeling to design materials for technological applications. This review is structured as a templated molecular modeling study starting from the molecular structure of a realistic material towards the prediction of properties and functions of the materials. At the end, the authors provide their perspective on the past, present of future in modeling reticular materials and formulate open challenges to inspire future model and method developments.

Indexed as

computational modelingfree energymolecular simulationpotential energy surfacereticular materialsstructural models

Identifiers

PMID39723710
PMCPMC12747498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.