Evidence map›Paper›PMID 42160038›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

A Bilayer Rare-Earth/High-κ Oxide Memristor for Energy-Efficient Neuromorphic Intelligence.

Hammad Ghazanfar, Muhammad Rabeel, Honggyun Kim, Sobia Nisar, Muhammad Wajid Zulfiqar, Muneeb Ahmad, Rana Faryad Ali, Ghulam Dastgeer, Deok-Kee Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hammad GhazanfarDepartment of Semiconductor Systems Engineering, Sejong University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0006-7339-4989
Muhammad RabeelDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0002-0851-9045
Honggyun KimDepartment of Semiconductor Systems Engineering, Sejong University, Seoul, Republic of Korea.
Sobia NisarDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, Republic of Korea.
Muhammad Wajid ZulfiqarDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, Republic of Korea.
Muneeb AhmadDepartment of Semiconductor Systems Engineering, Sejong University, Seoul, Republic of Korea.
Rana Faryad AliDepartment of Materials Science and Engineering and Materials Research Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA.
Ghulam DastgeerDepartment of Physics and Astronomy, Sejong University, Seoul, Republic of Korea.
Deok-Kee KimDepartment of Semiconductor Systems Engineering, Sejong University, Seoul, Republic of Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea RS-2024-00468995National Research Foundation of Korea RS-2025-02303505
6 · The paper itself

Abstract

The growing demand for brain-inspired computing systems has intensified research into energy-efficient, scalable, and adaptive hardware that mimics biological synaptic behavior. Neuromorphic memristor devices, which integrate memory and processing functionalities within a single nanoscale unit, are emerging as promising building blocks for next-generation artificial intelligence systems. In this work, we demonstrate a CMOS-compatible Ag/Gd

Indexed as

artificial synapseedge AIinterface‐engineeringmemristorneuromorphic computingrare‐earth

Identifiers

PMID42160038
PMCPMC13351500

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.