ArticleAdvanced materials (Deerfield Beach, Fla.)2026
Li-Well ZnO Memtransistors: High Reliability for Neuromorphic Applications.
Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Li-Well ZnO Memtransistors: High Reliability for Neuromorphic Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Memtransistors are active analog memory devices utilizing ionic memristive materials as channel layers. Since their introduction, the term "memtransistor" has widely been adopted for transistors exhibiting nonvolatile memory characteristics. Currently, memtransistor devices possessing both transistor on/off functionality and nonvolatile memory characteristics include ferroelectric field-effect transistors (FeFETs) and charge-trap flash (floating gate), yet ionic memtransistors have not matched their performance. Here a facile and extendable lithium (Li)-well oxide memtransistor (LWOM) is reported as a promising candidate. Forming a Li well, analogous to an n
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Registered trials
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.