Evidence map›Paper›PMID 41999607›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Reductive Transformation of ALD TeO

Seung Ho Ryu, Seungsu Kim, Taikyu Kim, Jihoon Jeon, Gwang Min Park, Hyeonji Yoo, Sung-Chul Kim, Sung Ok Won, Ju-Young Kim, Seong Keun Kim

Abstract read
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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

10 authors.

Seung Ho RyuElectronic and Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Seungsu KimElectronic and Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Taikyu KimDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Jihoon JeonElectronic and Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Gwang Min ParkElectronic and Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Hyeonji YooDepartment of Materials Science and Engineering, UNIST (Ulsan National Institute of Science and Technology), Ulsan, Republic of Korea.
Sung-Chul KimAdvanced Analysis and Data Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Sung Ok WonAdvanced Analysis and Data Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Ju-Young KimDepartment of Materials Science and Engineering, UNIST (Ulsan National Institute of Science and Technology), Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0002-3096-1350
Seong Keun KimElectronic and Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8712-7167

Funding

Nano & Material Technology Development Program through the National Research Foundation of Korea(NRF) RS-2025-25442614
6 · The paper itself

Abstract

The lack of high-performance p-type channel materials that can be processed at low temperatures has hindered the progress of monolithic 3D integration. Despite its high hole mobility, Te often exhibits discontinuous island-like growth when deposited using atomic layer deposition (ALD) due to its weak surface interactions. This study introduces a new reductive transformation method that addresses this inherent issue by converting continuous ALD-grown TeO

Indexed as

atomic layer depositionp‐type semiconductorsreductive transformationtelluriumultrathin films

Identifiers

PMID41999607
PMCPMC13244410

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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.