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Record W7117167236 · doi:10.1002/adma.202514620

A Retina‐Inspired Organic Iono‐Optoelectronic Synapse

2025· article· en· W7117167236 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsNeuromorphic engineeringSynapseIonic bondingPolymerCoupling (piping)BioelectronicsTransistorAcceptor

Abstract

fetched live from OpenAlex

Retina-inspired neuromorphic systems require seamless integration of light sensing and adaptive synaptic modulation, yet conventional materials fail to integrate ionic charge transport with optoelectronic signal processing. Organic iono-optoelectronic devices offer a promising solution by coupling the optoelectronic properties of conjugated polymers with ionic and electronic transport. Here, we present an organic iono-optoelectronic synapse enabled by a p-type mixed ionic-electronic conductor (OMIEC). The OMIEC material, gDPP-MeOT2, a donor-acceptor polymer comprising a thiophene-flanked diketopyrrolopyrrole acceptor and methoxy-bithiophene donor, serves simultaneously as a light absorber and an ion reservoir, enabling light-modulated mixed charge transport. Our iono-optoelectronic synapse exhibits broad-band light detection spanning the visible to near-infrared range and synaptic plasticity features central to learning processes of the human brain. These results suggest that OMIECs can unify light detection, logic operation, and energy-efficient information processing, paving the way for next generation biohybrid vision systems and bio-inspired neuromorphic electronics.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.011
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.004
GPT teacher head0.217
Teacher spread0.213 · 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