Evidence map›Paper›PMID 41988115›Full record

ArticleRSC advances2026

Strain- and chirality-engineered tunability of electronic and thermoelectric properties in SiC nanotubes: insights from first-principles calculations.

Imam Hussain, A S M Jannatul Islam, Tamanna Tanvin Tanha, Md Mafizul Islam

Abstract read
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Imam HussainDepartment of Electrical and Electronic Engineering, Khulna University of Engineering & Technology Khulna 9203 Bangladesh jannatul@eee.kuet.ac.bd.ORCID https://orcid.org/0009-0007-5435-1868
A S M Jannatul IslamDepartment of Electrical and Electronic Engineering, Khulna University of Engineering & Technology Khulna 9203 Bangladesh jannatul@eee.kuet.ac.bd.ORCID https://orcid.org/0000-0003-2101-6223
Tamanna Tanvin TanhaDepartment of Electrical and Electronic Engineering, Khulna University of Engineering & Technology Khulna 9203 Bangladesh jannatul@eee.kuet.ac.bd.ORCID https://orcid.org/0009-0007-3748-7149
Md Mafizul IslamDepartment of Textile Machinery Design and Maintenance, Bangladesh University of Textiles Dhaka 1208 Bangladesh.ORCID https://orcid.org/0009-0003-6160-2726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicon carbide nanotubes (SiCNTs) have recently emerged as promising candidates for next-generation thermoelectric applications, owing to their moderate bandgaps and intrinsically lower lattice thermal conductivity-attributable to strong quantum confinement effects. In realistic situations, uniaxial strain arising from lattice mismatch, thermal gradients, or dynamic motion in wearables can significantly modulate the electronic and thermoelectric performance of these nanostructures. In this work, we systematically investigate the strain-dependent electronic and thermoelectric properties of four representative single-walled SiCNTs-three zigzag [(6,0), (10,0), and (11,0)] and one armchair [(6,6)]-using first-principles calculations coupled with Boltzmann transport theory. The results reveal distinct chirality-dependent responses to both compressive and tensile strains. The (6,6) armchair SiCNT exhibits an indirect bandgap of 2.63 eV, while all zigzag SiCNTs show direct bandgaps under strain, with (6,0) showing the narrowest gap (0.49 eV). The Seebeck coefficient remains stable (∼1550 µV K

Identifiers

PMID41988115
PMCPMC13077544

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.