Evidence map›Paper›PMID 42027698›Full record

ReviewSmall science2026

Ultralight Conductive MXene Aerogels: From Material Design to Energy, Environment, and Electronic Applications.

Narasimharao Kitchamsetti, HyukSu Han, Sungwook Mhin

Abstract readReview
In one paragraph

Review in Small science, 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. 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

3 authors.

Narasimharao KitchamsettiDepartment of Microsystems University of South-Eastern Norway Borre Norway.ORCID https://orcid.org/0000-0001-8595-2761
HyukSu HanDivision of Materials Science and Engineering Hanyang University Seoul Republic of Korea.ORCID https://orcid.org/0000-0001-7252-2236
Sungwook MhinDepartment of Energy and Materials Engineering Dongguk University Seoul Republic of Korea.ORCID https://orcid.org/0000-0001-5515-8399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MXene-based aerogels have emerged as a fast-growing family of porous materials that merge the intrinsic electrical conductivity and layered morphology of MXenes with an ultralight, great surface-area framework of aerogels. This synergistic integration results in materials that exhibit excellent charge and heat transport, mechanical flexibility, and broad multifunctionality. This review summarizes the fundamental design strategies underlying MXene aerogels, with particular attention to how pore structure, architectural organization, and surface functionalization govern their performance. Advanced characterization techniques are highlighted for their role in revealing structure-property correlations. Key application areas are surveyed, spanning energy storage, sensing technologies, environmental remediation (including solar desalination and water treatment), catalysis, electromagnetic interference shielding, and thermal regulation. The review also identifies critical barriers to practical implementation, such as environmental susceptibility, degradation mechanisms, and performance trade-offs between conductivity and other functional attributes. Finally, future prospects are discussed, emphasizing AI-enabled materials design, greener synthesis strategies, scalable manufacturing, and integration into next-generation technologies, including soft robotics, neuromorphic systems, and bioelectronic platforms.

Indexed as

catalysiselectromagnetic interference shieldingenergy storageMXene‐based aerogelssensors and solar desalinationwater purification

Identifiers

PMID42027698
PMCPMC13099601

What OpenQuestion holds

Textmetadata
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.