ReviewResearch (Washington, D.C.)2025
Advances of Emerging Memristors for In-Memory Computing Applications.
Review in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing.Nano-micro letters · 2026Review
- Intrinsic gradient oxygen-driven second-order memristors for continual reinforcement learning.Nature communications · 2026Article
- Self-Rectifying Memristors for Beyond-CMOS Computing: Mechanisms, Materials, and Integration Prospects.Nano-micro letters · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The memristor, as an emerging nonvolatile device, has garnered considerable attention due to its low power consumption, high density, and multifunctionality. This review summarizes recent advances in the application of memristors for logic gates, with a focus on key breakthroughs and challenges in material design, device performance, and logic circuit implementation. It covers a variety of material systems including 2-dimensional materials, perovskite materials, and optoelectronic materials, as well as novel structures such as array architectures and wearable textile memristors, evaluating their suitability for achieving stable and efficient logic operations. In addition, the review provides a comparative analysis of different implementation strategies for basic logic, optoelectronic logic, and combinational logic, offering an in-depth discussion of their respective characteristics and advantages. This review also emphasizes the application prospects of memristor logic gates in reconfigurable computing, neuromorphic computing, and in-memory computing architectures, providing a theoretical foundation and practical support for the development of high-density integration and efficient memristor logic circuits.
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.