Evidence map›Paper›PMID 42656480›Full record

ReviewiScience2026

Organic semiconductor materials for neuromorphic and bioelectronic systems design rules and applications.

Le Phuong Long, Vo Thi Kien Hao, Nguyen Thi Nu

Abstract readReview
In one paragraph

Review in iScience, 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

3 authors.

Le Phuong LongLac Hong University, No.10, Huynh Van Nghe Street, Tran Bien Ward, Dong Nai, Vietnam.
Vo Thi Kien HaoFaculty of Applied Biology, Tay Do University, 68 Tran Chien Street, Can Tho City, Vietnam.
Nguyen Thi NuFaculty of Technology, Dong Nai Technology University, Dong Nai, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of organic semiconductors to be mechanically flexible, adjustable in their electronic properties, solution processable, and biocompatible has led to their identification as key materials for Neuromorphic and Bioelectronic systems. This review summarizes the relationship between molecular design, crystallinity and charge transport mechanisms, and device performance and discusses the role of conjugated polymers, small-molecule semiconductors, and mixed ionic-electronic conductors for brain-inspired computing and biointegrated electronics. It also explores key device architectures, including organic field-effect transistors, organic electrochemical transistors, and organic memristors with a focus on their demonstration of synaptic plasticity, learning and neural signal processing. Biosensing, neural interfaces, and implantable bioelectronics are explored in terms of challenges of operational stability, scalability, and long-term biocompatibility. This review seeks to establish a framework that facilitates the development of flexible, energy-efficient, and biologically compatible electronic technologies, by combining materials design with device engineering and novel applications.

Indexed as

bioelectronicsbiosensorsconjugated polymersneuromorphic electronicsorganic memristorssemiconductors

Identifiers

PMID42656480
PMCPMC13506830

What OpenQuestion holds

Textmetadata
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.