Evidence map›Paper›PMID 42850568›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Morphology-Defined Entropy Streams for Random-Bit Generation and Probabilistic Sampling in Memristor Arrays.

Hyunjun Kim, Da Ye Kim, Noah Jang, Yongho Lee, Byunghun Song, June Soo Kim

Abstract read
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In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, 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

6 authors.

Hyunjun Kim *School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Da Ye Kim *School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Noah Jang *School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, Republic of Korea.
Yongho LeeSmart Manufacturing Innovation Center, Korea Electronics Technology Institute, Seongnam, Republic of Korea.
Byunghun SongSmart Manufacturing Innovation Center, Korea Electronics Technology Institute, Seongnam, Republic of Korea.
June Soo KimDepartment of Electronic Engineering, Cheongju University, Cheongju, Republic of Korea.ORCID https://orcid.org/0000-0002-1959-3753

Funding

Chungcheongbuk-do, Republic of Korea 2026-RISE-11-013-03Regional Innovation System & Education
6 · The paper itself

Abstract

Physical entropy sources are essential for hardware security and probabilistic information processing, yet most memristor-based random-number generators rely on stochastic switching outputs without identifying a designable materials-level parameter that controls how intrinsic device stochasticity is expressed. Here, we present a morphology-engineered entropy platform based on Ag/TiO

Indexed as

memristorsnanoislandsphysical entropystochastic electronicstrue random number generators

Identifiers

PMID42850568

What OpenQuestion holds

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Registered trials

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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.