ReviewChemical reviews2025
Phase-Change Memory for In-Memory Computing.
Review in Chemical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Dual-Scale Confinement in TiTeSmall methods · 2026Article
- RRAM-Based Neuromorphic Devices for Artificial-Intelligence Hardware: Device Physics, Materials, Processing, and Packaging.Micromachines · 2026Review
- Memristive devices for memory and computing.Nature materials · 2026Article
- Asymmetrical Two-Headed Linear Cationic Surfactants with Halogenoferrate Magnetic and Bromide Counterions: Synthesis, Thermal Behavior, Magnetic Performance, and Surface Properties.Langmuir : the ACS journal of surfaces and colloids · 2026Article
- Neuromorphic Technologies for Neuroengineering: From Adaptive Stimulation to SNN-Based Inference and Deployable Biointerfaces.Sensors (Basel, Switzerland) · 2026Review
- In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective.Nano-micro letters · 2026Article
- Unravel the complexity.Nature materials · 2026Article
- Self-Rectifying Memristors for Beyond-CMOS Computing: Mechanisms, Materials, and Integration Prospects.Nano-micro letters · 2026Review
- Solution-Phase Design of Emerging Nanomaterials.Chemistry of materials : a publication of the American Chemical Society · 2025Review
- Electronic Properties and Stacking Ordering in Layered GeTe-Rich (GeTe)ACS applied electronic materials · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In-memory computing (IMC) is an emerging computational approach that addresses the processor-memory divide in modern computing systems. The core concept is to leverage the physics of memory devices and their array-level organization to perform computations directly within the memory array. Phase-change memory (PCM) is a leading memory technology being explored for IMC. In this perspective, we review the current state of phase-change materials, PCM device physics, and the design and fabrication of PCM-based IMC chips. We also provide an overview of the application landscape and offer insights into future developments.
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.