ReviewNano-micro letters2024
Recent Advances in In-Memory Computing: Exploring Memristor and Memtransistor Arrays with 2D Materials.
Review in Nano-micro letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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
28 citing papers in PubMed.
- Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing.Nano-micro letters · 2026Review
- Epitaxial BiAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Self-Powered Neuromorphic Systems Based on Tribotronics Synaptic Devices.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Convergence of Soft Electronics and Artificial Intelligence: From Materials to Intelligent Systems.Nano-micro letters · 2026Review
- Retinomorphic Visual Processing Enabled by Contact-Engineered IGZO Optoelectronic Synaptic Memtransistors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- 2D Materials Powering Neuromorphic Intelligence.Nano-micro letters · 2026Review
- In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective.Nano-micro letters · 2026Article
- Hafnium-Based Ferroelectric Post-Moore Electronics: Device Physics, Integration Architectures, and Neuromorphic System Implementation.Nano-micro letters · 2026Review
- Artificial Neuron Based on Electrical Anisotropy from WSeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cation-Driven Valence Change Mechanism in 2D AgCrSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Heterosynaptic Memtransistors Based on Switching Operation Mechanism Using Designed Organic/Inorganic Heterostructures for Neuromorphic Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Micro-LED/van der Waals heterointegration for in-pixel processing display architecture.Nature communications · 2026Article
- Dipole-Driven Charge Trapping in Monolayer Janus MoSSe for Ultrathin Nonvolatile Memory Devices.Nano-micro letters · 2026Article
- Multisensory Neuromorphic Devices: From Physics to Integration.Nano-micro letters · 2026Review
- Coplanar Floating-Gate Antiferroelectric Transistor with Multifunctionality for All-in-One Analog Reservoir Computing.Nano-micro letters · 2026Article
- Li-Well ZnO Memtransistors: High Reliability for Neuromorphic Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Nanoscale Insights into the Dynamics of Conductive Filament Growth/Dissolution in 2D Material-Based Memristors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Scalable transition metal dichalcogenide memtransistor arrays with Schottky-barrier control for energy-efficient artificial neural networks.Nature communications · 2025Article
- High-Entropy Oxide Memristors for Neuromorphic Computing: From Material Engineering to Functional Integration.Nano-micro letters · 2025Review
- Intelligent Photodetectors: Postmanufacturing Tunability toward Enhanced Performance and Advanced Functions.Chemical reviews · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The conventional computing architecture faces substantial challenges, including high latency and energy consumption between memory and processing units. In response, in-memory computing has emerged as a promising alternative architecture, enabling computing operations within memory arrays to overcome these limitations. Memristive devices have gained significant attention as key components for in-memory computing due to their high-density arrays, rapid response times, and ability to emulate biological synapses. Among these devices, two-dimensional (2D) material-based memristor and memtransistor arrays have emerged as particularly promising candidates for next-generation in-memory computing, thanks to their exceptional performance driven by the unique properties of 2D materials, such as layered structures, mechanical flexibility, and the capability to form heterojunctions. This review delves into the state-of-the-art research on 2D material-based memristive arrays, encompassing critical aspects such as material selection, device performance metrics, array structures, and potential applications. Furthermore, it provides a comprehensive overview of the current challenges and limitations associated with these arrays, along with potential solutions. The primary objective of this review is to serve as a significant milestone in realizing next-generation in-memory computing utilizing 2D materials and bridge the gap from single-device characterization to array-level and system-level implementations of neuromorphic computing, leveraging the potential of 2D material-based memristive devices.
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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.