Face-on crystallization in ambipolar organic mixed conductors enables homogeneous light-modulated artificial neurons
Clicks: 2
ID: 316919
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.3
/100
2 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #185 of 280 articles by views in national science review
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 280 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Light-modulated artificial neurons are vital for clinical optic nerve repair and bionic robotics. Light-sensitive ambipolar organic mixed ionic-electronic conductors (OMIECs) allow for homogeneously integrated artificial neurons, free from issues such as voltage/resistance mismatch or digital-to-analog conversion. However, their development is constrained by a trade-off between ion and electron transport, which results in low figure-of-merit (μC*) values and P/N-mode imbalance. Here, through precise molecular weight tailoring, we develop an ambipolar OMIEC with a high face-on orientation ratio of 85.5% and a fourfold enhancement in backbone crystallinity. This approach simultaneously enhances vertical ionic transport and electron transport, enabling the synergetic optimization of electronic mobility and volumetric capacitance. The optimized material achieves high μC* values of 423.3 ± 17.3 F cm⁻¹ V⁻¹ s⁻¹ (N-type) and 359.8 ± 42.6 F cm⁻¹ V⁻¹ s⁻¹ (P-type). Using this OMIEC, we construct a homogeneous artificial neuron whose excitation/inhibition behaviors can be dually modulated by light and chemical environment, paving new paths for high-performance OMIECs in biological neural prosthetics and bionic machine vision systems.
| Reference Key |
openalex_W7164209636
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Y Zhang, Shijie Wang, Guangyu Qi, Xinmei Cai, Sen Zhang, Bo Wang, Chao Zhao, Yong Han, Qunping Fan, Laili Wang, Wei Ma |
| Journal | national science review |
| Year | 2026 |
| DOI |
10.1093/nsr/nwag341
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.