Evidence map›Paper›PMID 32165990›Full record

ReviewScience and technology of advanced materials2020

Building memory devices from biocomposite electronic materials.

Xuechao Xing, Meng Chen, Yue Gong, Ziyu Lv, Su-Ting Han, Ye Zhou

Abstract readReview
In one paragraph

Review in Science and technology of advanced materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Recent progress in neuromorphic and memory devices based on graphdiyne.Science and technology of advanced materials · 2023
    Review
  5. Emerging memristive neurons for neuromorphic computing and sensing.Science and technology of advanced materials · 2023
    Review
  6. Article
  7. Article
  8. Review
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

6 authors.

Xuechao XingInstitute of Microscale Optoelectronics, Shenzhen University, Shenzhen, P. R. China.
Meng ChenInstitute for Advanced Study, Shenzhen University, Shenzhen, P. R. China.
Yue GongInstitute of Microscale Optoelectronics, Shenzhen University, Shenzhen, P. R. China.
Ziyu LvInstitute of Microscale Optoelectronics, Shenzhen University, Shenzhen, P. R. China.
Su-Ting HanInstitute of Microscale Optoelectronics, Shenzhen University, Shenzhen, P. R. China.
Ye ZhouInstitute for Advanced Study, Shenzhen University, Shenzhen, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural biomaterials are potential candidates for the next generation of green electronics due to their biocompatibility and biodegradability. On the other hand, the application of biocomposite systems in information storage, photoelectrochemical sensing, and biomedicine has further promoted the progress of environmentally benign bioelectronics. Here, we mainly review recent progress in the development of biocomposites in data storage, focusing on the application of biocomposites in resistive random-access memory (RRAM) and field effect transistors (FET) with their device structure, working mechanism, flexibility, transient characteristics. Specifically, we discuss the application of biocomposite-based non-volatile memories for simulating biological synapse. Finally, the application prospect and development potential of biocomposites are presented.

Indexed as

103 Composites201 Electronics / Semiconductor / TCOsbiocompositedata storagefield effect transistorsGreen electronicsresistive random-access memory

Identifiers

PMID32165990
PMCPMC7054979

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.