ArticleScience advances2022
Ionic-electronic halide perovskite memdiodes enabling neuromorphic computing with a second-order complexity.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- A Perovskite Memdiode-Based Neuromorphic in Silico Surrogate Model for Emulating Predictive Coding Failure in Diabetic Neuropathy.Neuroinformatics · 2026Article
- Controlled Epitaxial Growth of Perovskite Single-Crystal Heterojunction Arrays for Self-Powered Imaging.Nano-micro letters · 2026Article
- Wafer-Scale Room-Temperature Processing of Lead-Free Perovskites for Optoelectronic Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Feedback neurons based on perovskite memristor with nickel single-atom engineered reduced graphene oxide cathode.Nature communications · 2026Article
- Sputtering yield for metal halide perovskite devices patterning.Science and technology of advanced materials · 2026Article
- Mitigating Ion Migration with Alternating Voltage for Stable Perovskite Image Sensors.ACS applied materials & interfaces · 2025Article
- Polymorphic functionalization driven by ion displacement-induced antiferroelectric ordering in CuBiP₂Se₆.Nature communications · 2025Article
- Flexible Inorganic/Organic Memristor Based on W-Doped MoONanomaterials (Basel, Switzerland) · 2025Article
- Short-Term Bienenstock-Cooper-Munro Learning in Optoelectrically-Driven Flexible Halide Perovskite Single Crystal Memristors.Small methods · 2025Article
- Smart phosphor with neuromorphic behaviors enabling full-photoluminescent Write and Read for all-optical physical reservoir computing.Nature communications · 2025Article
- Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing.Chemical reviews · 2025Review
- Modulating Trapping in Low-Dimensional Lead-Tin Halides for Energy-Efficient Neuromorphic Electronics.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Memristive Ion Dynamics to Enable Biorealistic Computing.Chemical reviews · 2025Review
- Advances in Metal Halide Perovskite Memristors: A Review from a Co-Design Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Insights of BDAPbIACS omega · 2024Article
- Exploiting Spatial Ionic Dynamics in Solid-State Organic Electrochemical Transistors for Multi-Tactile Sensing and Processing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Magnetoionics for Synaptic Devices and Neuromorphic Computing: Recent Advances, Challenges, and Future Perspectives.Small science · 2024Article
- Sustainable Mixed-Halide Perovskite Resistive Switching Memories Using Self-Assembled Monolayers as the Bottom Contact.The journal of physical chemistry letters · 2024Article
- Charge Trapping and Defect Dynamics as Origin of Memory Effects in Metal Halide Perovskite Memlumors.The journal of physical chemistry letters · 2024Article
- Understanding the Resistive Switching Behaviors of Top Electrode (Au, Cu, and Al)-Dependent TiOACS omega · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With increasing computing demands, serial processing in von Neumann architectures built with zeroth-order complexity digital circuits is saturating in computational capacity and power, entailing research into alternative paradigms. Brain-inspired systems built with memristors are attractive owing to their large parallelism, low energy consumption, and high error tolerance. However, most demonstrations have thus far only mimicked primitive lower-order biological complexities using devices with first-order dynamics. Memristors with higher-order complexities are predicted to solve problems that would otherwise require increasingly elaborate circuits, but no generic design rules exist. Here, we present second-order dynamics in halide perovskite memristive diodes (memdiodes) that enable Bienenstock-Cooper-Munro learning rules capturing both timing- and rate-based plasticity. A triplet spike timing-dependent plasticity scheme exploiting ion migration, back diffusion, and modulable Schottky barriers establishes general design rules for realizing higher-order memristors. This higher order enables complex binocular orientation selectivity in neural networks exploiting the intrinsic physics of the devices, without the need for complicated circuitry.
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.