ArticleNature nanotechnology2025
Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing.
Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Lattice Disorder in CuI Enables Filament-Free Transparent Memristors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Deterministic Switching-Path Engineering of CMOS-Integrated 2D Memristors for Neuromorphic Computing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Interfacial Energetics in Metal Halide Perovskite Solar Cells.Chemical reviews · 2026Article
- Spectrally Partitioned All-Optical Memristors for Highly Linear Neuromorphic Vision Systems.Nano-micro letters · 2026Article
- Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing.Nano-micro letters · 2026Review
- High-linearity all-2D heterojunction-based neuromorphic image-sensing transistor array with a sandwiched tunneling layer for dynamic vision.Nature communications · 2026Article
- Two-terminal β-GaLight, science & applications · 2026Article
- Diffusive memristors in the edge of chaos.Nature communications · 2026Article
- 2D Materials Powering Neuromorphic Intelligence.Nano-micro letters · 2026Review
- Two-dimensional melt growth of large-scale, single-crystalline hybrid organic-inorganic perovskite films.Nature communications · 2026Article
- Ion Migration in Two-Dimensional Organic-Inorganic Hybrid Perovskite Heterostructures: Interface Evolution, Migration Mechanisms and Device Implications.Nanomaterials (Basel, Switzerland) · 2026Review
- Engineering halogen-doped carbon dots for enhanced bioinspired synapses toward neuromorphic computing and neural interfaces.Materials today. Bio · 2026Article
- Ultra-high density perovskite nanowire array memristor-based multi-layer perceptron.Nature communications · 2026Article
- Room-temperature memristive switching between charge density wave states.Nature communications · 2026Article
- Interfacial Engineering of Two-Dimensional Perovskite Memristors toward Reliable and Flexible Optoelectronic Memory Arrays.ACS applied materials & interfaces · 2026Article
- Twelve-inch electrically anisotropic boridene for optoelectronic computing.Nature nanotechnology · 2026Article
- Single-molecule neuromorphic device with aJ-level power consumption per switching.Nature communications · 2026Article
- Dedicated and Reconfigurable Artificial Neurons and Synapses based on Two-Dimensional Materials for Efficient Neuromorphic Application.Nano-micro letters · 2026Review
- Multimodal ion-gated transistor based on 2D superionic conductor for in-memory computing in deep learning.Nature communications · 2026Article
- Droplet-Engineered Scalable High-Throughput Perovskite Micropatterning for Next-Generation Optoelectronics.ACS nano · 2026Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The exotic properties of three-dimensional halide perovskites, such as mixed ionic-electronic conductivity and feasible ion migration, have enabled them to challenge traditional memristive materials. However, the poor moisture stability and difficulty in controlling ion transport due to their polycrystalline nature have hindered their use as a neuromorphic hardware. Recently, two-dimensional (2D) halide perovskites have emerged as promising artificial synapses owing to their phase versatility, microstructural anisotropy in electrical and optoelectronic properties, and excellent moisture resistance. However, their asymmetrical and nonlinear conductance changes still limit the efficiency of training and accuracy of inference. Here we achieve highly linear and symmetrical conductance changes in Dion-Jacobson 2D perovskites. We further build a 7 × 7 crossbar array based on analogue perovskite synapses, achieving a high device yield, low variation with synaptic weight storing capability, multi-level analogue states with long retention, and moisture stability over 7 months. We explore the potential of such devices in large-scale image inference via simulations and show an accuracy within 0.08% of the theoretical limit. The excellent device performance is attributed to the elimination of gaps between inorganic layers, allowing the halide vacancies to migrate homogeneously regardless of grain boundaries. This was confirmed by first-principles calculations and experimental analysis.
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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.