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Record W4408328617 · doi:10.1002/admt.202401922

Facile Synthesis of a Carbon Nano Dot‐Based Wearable Flexible Thermoelectric Device

2025· article· en· W4408328617 on OpenAlex
Al Jumlat Ahmed, Joseph F. Olorunyomi, Shiqin Yan, Christopher D. Easton, Farnaz Zadehahmadi, Yannan Lu, Daniel Liang, Xavier Mulet, Cara M. Doherty

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdvanced Materials Technologies · 2025
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Thermoelectric Materials and Devices
Canadian institutionsnot available
FundersCanada Excellence Research Chairs, Government of CanadaCommonwealth Scientific and Industrial Research Organisation
KeywordsNano-Thermoelectric effectMaterials scienceWearable computerNanotechnologyCarbon fibersWearable technologyQuantum dotComputer scienceEmbedded systemComposite materialPhysics

Abstract

fetched live from OpenAlex

Abstract A facile method of synthesizing flexible thin films of carbon nano dots (CNDs) and Polyvinyl Pyrrolidone (PVP) on cellulose based substrates is developed and their thermoelectric properties are demonstrated through the fabrication of a wearable device. Alongside enhanced thermoelectric performance, the CND thin films are biocompatible, low cost and scalable, all essential criteria for wearable thermoelectric devices. A critical window of the CND loading concentration on the cellulose‐based substrate is observed, with significantly enhanced Seebeck coefficient and Power Factor of thin films, demonstrating that the trade‐off principles for thermoelectric materials must be carefully tuned. The highest Seebeck coefficient of –358.45 µV·K −1 , power factor of 0.03 µW·m −1 ·K −2 and the lowest thermal conductivity of 0.086 W·m −1 ·K −1 at room temperature is achieved with a CND loading concentration of 9.32 g cm −2 . A wearable thermoelectric device is fabricated using n‐type CND films with copper electrodes. When worn, the device can generate voltage and current of ≈70 mV and ≈15 nA, respectively, at ΔT of 10 K.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.251
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it