Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 176

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Self-powered artificial synapses actuated by triboelectric nanogenerator

Liu, Yaqian, Zhong, Jianfeng, Li, Enlong, Yang, Huihuang, Wang, Xiumei, Lai, Dengxiao, Chen, Huipeng, Guo, Tailiang·2019·Nano Energy

Abstract

Abstract Biological synapses were the basic structure for information transmit, which also perform key computation functions in neural circuits. Such functionality inspires artificial intelligence to mimic human brain, which has 1015 synapses and consumed only ∼1–100 fJ per synaptic event during massively parallel information processing. It thus indicates that artificial synapse devices with low power consumption are highly desired to mimic human brain. In this work, we developed a distinctive structure of self-powered synapse transistor to emulate synapse functions, and the voltage was provided by a triboelectric nanogenerator (TENG) without using additional voltage to generate pre-synapse spike. Moreover, TENG could simultaneously function as tactile sensor to realize self-powered tactile synapse with simple device structure. The essential synaptic functions such as excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), dynamic filtering, and short-term plasticity (STP) to long-term plasticity (LTP) were demonstrated in the self-powered synapse transistor devices by touching the TENG. Moreover, the logic gate “AND”, and “OR” were achieved using TENGs as multiple pre-synaptic, and tactile study was also mimicked. The integration of TENG and synapse transistor device has great potentials in the applications of novel e-skin devices for artificial intelligence and human-computer interaction.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.nanoen.2019.03.079

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 6 references

Cited by

See all 176

Metadata

Authors
Liu, Y., Zhong, J., Li, E., Yang, H., Wang, X., Lai, D., Chen, H., & Guo, T.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2019-06
Volume
60
Pages
377-384
ISSN
2211-2855 (ISSN-L)
OpenAlex
W2923515189
Cited by
176
References
6
FWCI
8.28
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Self-powered artificial synapses actuated by triboelectric nanogenerator. https://app.cochat.ai/papers/10.1016/j.nanoen.2019.03.079
The paper
Liu, Y., Zhong, J., Li, E., Yang, H., Wang, X., Lai, D., Chen, H., & Guo, T. (2019). Self-powered artificial synapses actuated by triboelectric nanogenerator. Nano Energy. https://doi.org/10.1016/j.nanoen.2019.03.079

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.