Evidence map›Paper›PMID 40059313›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Novel Solution-Processed Fe

Faisal Ghafoor, Honggyun Kim, Bilal Ghafoor, Zaheer Ahmed, Muhammad Farooq Khan, Muhammad Rabeel, Muhammad Faheem Maqsood, Sobia Nasir, Wajid Zulfiqar, Ghulam Dastageer and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. WSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Novel Solution-Processed FeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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

12 authors.

Faisal GhafoorDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea.
Honggyun KimDepartment of Semiconductor Systems Engineering, Sejong University, Seoul, 05006, Republic of Korea.
Bilal GhafoorSchool of Materials Science and Engineering, Shanghai University, Shanghai, 200444, China.
Zaheer AhmedDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea.
Muhammad Farooq KhanDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea.
Muhammad RabeelDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea.
Muhammad Faheem MaqsoodMaterial Science and Engineering Program, College of Arts and Science, American University of Sharjah, Sharjah, 26666, UAE.
Sobia NasirDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea.
Wajid ZulfiqarDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea.
Ghulam DastageerDepartment of Physics and Astronomy, Sejong University, Seoul, 05006, South Korea.
Myoung-Jae LeeInstitute of Conversion Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42988, South Korea.
Deok-Kee KimDepartment of Electrical Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Republic of Korea.ORCID https://orcid.org/0000-0002-2515-4984

Funding

Ministry of Science and ICT RS-2023-00258732Ministry of Science and ICT RS-2024-00468995National Research Foundation
6 · The paper itself

Abstract

Non-volatile memory (NVM) based neuromorphic computing, which is inspired by the human brain, is a compelling paradigm in regard to building energy-efficient computing hardware that is tailored for artificial intelligence. However, the current state of the art NVMs are facing challenges with low operating voltages, energy efficiencies, and high densities in order to meet the new computing system beyond Moore's law. It is therefore necessary to develop novel hybrid materials with controlled compositional dynamics is crucial for initiating memristor devices capable of low-power operations. This study validates the effectiveness of Ag/Fe

Indexed as

hybrid nanocomposite (HN)neuromorphic computing (NC)non‐volatile memory (NVM)transition‐metal dichalcogenides (TMDCs)

Identifiers

PMID40059313
PMCPMC12061252

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.