Evidence map›Paper›PMID 41707034›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Recycled Thermocol Nanofibers Based Smart Triboelectric Nanogenerators for AI-Assisted Switching.

Shubham V Patil, Mahesh Y Chougale, Thomas Cox, Sourabh Ghode, Abhishek Kulkarni, Parth Pandit, Niroshan Manoharan, Ajay Pandey, Jinho Bae, Deepak Dubal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

10 authors.

Shubham V PatilCentre For Materials Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia.
Mahesh Y ChougaleCentre For Materials Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia.
Thomas CoxCentre For Materials Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia.
Sourabh GhodeDepartment of Ocean System Engineering, Jeju National University, Jeju, South Korea.
Abhishek KulkarniCentre For Materials Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia.
Parth PanditSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Australia.
Niroshan ManoharanCentre For Materials Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia.
Ajay PandeySchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Australia.
Jinho BaeDepartment of Ocean System Engineering, Jeju National University, Jeju, South Korea.
Deepak DubalCentre For Materials Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia.ORCID https://orcid.org/0000-0002-2337-676X

Funding

Australian Research Council (ARC) Research hub IH210100025Korean government (MOTIE) 20014690QUT's Centre for Materials ScienceSpark-Linkage Program
6 · The paper itself

Abstract

The accumulation of non-biodegradable thermocol (expanded polystyrene, EPS) waste presents a critical environmental challenge and an untapped resource for sustainable energy technologies. In this work, we demonstrate a waste-to-functional-material strategy by transforming discarded thermocol into electrospun EPS nanofibers and employing them as an efficient tribonegative layer in a triboelectric nanogenerator (TENG). Unlike conventional polymer films, the nanofibrous EPS architecture introduces high surface roughness and electrospinning-induced dipole alignment, leading to markedly enhanced charge generation. The resulting TENG delivers an open-circuit voltage of ∼159 V, a short-circuit current of ∼22 µA, and a maximum output powerdensity of 2083 mW/m

Indexed as

EPS nanofibersmachine learningsmart systemTENGwaste recycling

Identifiers

PMID41707034
PMCPMC13100555

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.