ArticleACS applied materials & interfaces2022
Full-Inorganic Flexible Ag
Article in ACS applied materials & interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed.
- Flexible Neuromorphic Memristors: From Mechanisms to Applications.Materials (Basel, Switzerland) · 2026Review
- Ductile binary FCC materials screened by anisotropic and isotropic elastic criteria: first principle insights into deformation mechanisms.Scientific reports · 2026Article
- Tuning TiOACS applied materials & interfaces · 2026Article
- Room-temperature plasticity in AgNature communications · 2026Article
- Iterative sublattice amorphization facilitates exceptional processability in inorganic semiconductors.Nature materials · 2025Article
- High performance magnesium-based plastic semiconductors for flexible thermoelectrics.Nature communications · 2024Article
- Digital image processing realized by memristor-based technologies.Discover nano · 2023Review
- Organic Memristor with Synaptic Plasticity for Neuromorphic Computing Applications.Nanomaterials (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Flexible memristor-based neural network hardware is capable of implementing parallel computation within the memory units, thus holding great promise for fast and energy-efficient neuromorphic computing in flexible electronics. However, the current flexible memristor (FM) is mostly operated with a filamentary mechanism, which demands large energy consumption in both setting and computing. Herein, we report an Ag
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Identifiers
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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.