ArticleSmall science2022
Memristors with Biomaterials for Biorealistic Neuromorphic Applications.
Article in Small science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Memristive Ion Dynamics to Enable Biorealistic Computing.Chemical reviews · 2025Review
- Optimization strategy of the emerging memristors: From material preparation to device applications.iScience · 2024Review
- Blood-based biomemristor for hyperglycemia and hyperlipidemia monitoring.Materials today. Bio · 2024Article
- pH-Dependent Effects in Nanofluidic Memristors.The journal of physical chemistry letters · 2024Article
- Electroactive composite biofilms integrating Kombucha, Chlorella and synthetic proteinoid Proto-Brains.Royal Society open science · 2024Article
- MnO/ZnO:Zn Thin-Film Frequency Adaptive Heterostructure for Future Sustainable Memristive Systems.Nanomaterials (Basel, Switzerland) · 2024Article
- Memfractance of Proteinoids.ACS omega · 2024Article
- MXene Nanosheets-Decorated Paper as a Green Electronics Material for Biosensing.ACS measurement science au · 2024Article
- Understanding the Role of M13 Bacteriophage Thin Films on a Metallic Nanostructure through a Standard and Dynamic Model.Sensors (Basel, Switzerland) · 2023Article
- Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Review
- All-in-One Compression and Encryption Engine Based on Flexible Polyimide Memristor.Small science · 2023Article
- First Order Rate Law Analysis for Reset State in Vanadium Oxide Thin Film Resistive Random Access Memory Devices.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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic devices with biomaterials have paved a way toward "green electronics" to create a sustainable future. Memristors are drawing growing attention with integrated sensing, memory, and computing for future artificial intelligence applications. Biomaterial is an emerging class of memristive materials (the device is called as biomemristor) for transient and/or biodegradable purpose. Importantly, several unique features such as faithful synaptic behaviors, bimodal switching, and biovoltage operations are observed in biomemristors. Moreover, the biomemristors are suitable for human-related applications due to the inherent biocompatibility of biomaterials and flexibility of the device with ultrathin thickness. These features make the biomemristors promising for biorealistic neuromorphic applications. Herein, the state of the art of biomemristors are comprehensively summarized and systematically discussed with particular attention on their unique biorealistic features. Challenges and prospects toward the further development of biomemristors are also provided and discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.