Evidence map›Paper›PMID 42846737›Full record

ArticleSmall science2026

Unveiling Search-Robust One-Shot Learning Operation in FeTFT-Based Ternary Content-Addressable Memory.

Hyeonjung Park, Changwoo Han, Yejoo Choi, Junseok Kim, Myeongjae Choi, Huiseong Shin, Seungjoon Jeong, Jeongheon Cho, Chaeho Kwon, Sang Min Won and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small science, 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

11 authors.

Hyeonjung ParkDepartment of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea.ORCID https://orcid.org/0000-0003-1177-3095
Changwoo HanSchool of Electrical Engineering College of Engineering Korea University Seoul South Korea.
Yejoo ChoiSemiconductor R&D Center Samsung Electronics Hwaseong South Korea.
Junseok KimSchool of Electrical Engineering College of Engineering Korea University Seoul South Korea.
Myeongjae ChoiSchool of Semiconductor System Engineering College of Engineering Seoul South Korea.
Huiseong ShinSchool of Electrical Engineering College of Engineering Korea University Seoul South Korea.ORCID https://orcid.org/0009-0003-6599-4798
Seungjoon JeongSchool of Electrical Engineering College of Engineering Korea University Seoul South Korea.
Jeongheon ChoSchool of Electrical Engineering College of Engineering Korea University Seoul South Korea.
Chaeho KwonSchool of Electrical Engineering College of Engineering Korea University Seoul South Korea.
Sang Min WonDepartment of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea.ORCID https://orcid.org/0000-0002-5750-8628
Changhwan ShinSchool of Electrical Engineering College of Engineering Korea University Seoul South Korea.ORCID https://orcid.org/0000-0001-6057-3773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid growth of data-centric artificial intelligence (AI), ternary content-addressable memory (TCAM) has emerged as a promising platform for parallel in-memory search. Here, we systematically investigate how the gate-dielectric material and structural design of metal-ferroelectric-metal-insulator-semiconductor (MFMIS) ferroelectric thin-film transistors (FeTFTs) affect TCAM search operation and long-term robustness. By comparing ZrO

Indexed as

ferroelectric HZOferroelectric thin‐film transistorsin‐memory computingnonvolatile memoriesternary content‐addressable memories

Identifiers

PMID42846737
PMCPMC13643206

What OpenQuestion holds

Textmetadata
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.