ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024
Proposition of Adaptive Read Bias: A Solution to Overcome Power and Scaling Limitations in Ferroelectric-Based Neuromorphic System.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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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.
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Who cites it
9 citing papers in PubMed.
- CMOS-compatible ferroelectric tunnel junctions integrate stochastic sampling and deterministic computing for image generation.Nature communications · 2026Article
- Noise Fingerprints as a Quantitative Order Parameter for Polarization- and Defect-Mediated Switching in Hafnia Ferroelectrics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Recent advances in ferroelectric materials, devices, and in-memory computing applications.Nano convergence · 2025Review
- Integrated Design of Electrically Configurable Ferroelectric and Redox-Based Memristors for Hardware-Implemented Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Physical correlation between stochasticity and process-induced damage in ferroelectric memory devices.Nano convergence · 2025Article
- CMOS-compatible flash-gated thyristor-based neuromorphic module with small area and low energy consumption for in-memory computing.Science advances · 2025Article
- Polarization Pruning: Reliability Enhancement of Hafnia-Based Ferroelectric Devices for Memory and Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Toward Ideal Low-Frequency Noise in Monolayer CVD MoSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Proposition of Adaptive Read Bias: A Solution to Overcome Power and Scaling Limitations in Ferroelectric-Based Neuromorphic System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Hardware neuromorphic systems are crucial for the energy-efficient processing of massive amounts of data. Among various candidates, hafnium oxide ferroelectric tunnel junctions (FTJs) are highly promising for artificial synaptic devices. However, FTJs exhibit non-ideal characteristics that introduce variations in synaptic weights, presenting a considerable challenge in achieving high-performance neuromorphic systems. The primary objective of this study is to analyze the origin and impact of these variations in neuromorphic systems. The analysis reveals that the major bottleneck in achieving a high-performance neuromorphic system is the dynamic variation, primarily caused by the intrinsic 1/f noise of the device. As the device area is reduced and the read bias (V
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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.