Evidence map›Paper›PMID 40593572›Full record

ArticleNature communications2025

Direct observation of 3D nitrogen distribution in silicon-based dielectrics using atom probe tomography.

Byeong-Gyu Chae, Jeong Yeon Won, Young Sik Shin, Dong Jin Yun, Jae Min Ahn, Seon Tae Park, Ki-Bum Lee, Hokyun An, Mina Seol, I-Jun Ro and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

13 authors.

Byeong-Gyu ChaeAnalytical Engineering Group, Material Research Center, Samsung Advanced Institute of Technology, Samsung Electronics Co., Ltd, Suwon, Republic of Korea. bg.chae@samsung.com.ORCID http://orcid.org/0000-0001-7424-7071
Jeong Yeon WonAnalytical Engineering Group, Material Research Center, Samsung Advanced Institute of Technology, Samsung Electronics Co., Ltd, Suwon, Republic of Korea.
Young Sik ShinAnalytical Engineering Group, Material Research Center, Samsung Advanced Institute of Technology, Samsung Electronics Co., Ltd, Suwon, Republic of Korea.
Dong Jin YunAnalytical Engineering Group, Material Research Center, Samsung Advanced Institute of Technology, Samsung Electronics Co., Ltd, Suwon, Republic of Korea.ORCID http://orcid.org/0000-0001-6256-2592
Jae Min AhnAnalytical Engineering Group, Material Research Center, Samsung Advanced Institute of Technology, Samsung Electronics Co., Ltd, Suwon, Republic of Korea.
Seon Tae ParkAnalytical Engineering Group, Material Research Center, Samsung Advanced Institute of Technology, Samsung Electronics Co., Ltd, Suwon, Republic of Korea.
Ki-Bum LeeProcess Development Team, Semiconductor R&D Center, Samsung Electronics Co., Ltd, Hwaseong, Republic of Korea.
Hokyun AnProcess Development Team, Semiconductor R&D Center, Samsung Electronics Co., Ltd, Hwaseong, Republic of Korea.
Mina SeolProcess Development Team, Semiconductor R&D Center, Samsung Electronics Co., Ltd, Hwaseong, Republic of Korea.
I-Jun RoDepartment of Materials Science & Engineering, Korea University, Seoul, Republic of Korea.
Se-Ho KimDepartment of Materials Science & Engineering, Korea University, Seoul, Republic of Korea.
Chunhyung ChungProcess Development Team, Semiconductor R&D Center, Samsung Electronics Co., Ltd, Hwaseong, Republic of Korea.
Eunha LeeAnalytical Engineering Group, Material Research Center, Samsung Advanced Institute of Technology, Samsung Electronics Co., Ltd, Suwon, Republic of Korea. eunhayo.lee@samsung.com.ORCID http://orcid.org/0000-0001-5950-253X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distribution of nitrogen in semiconductor devices plays a crucial role in tuning their physical and electrical properties. However, direct observation and precise quantification of nitrogen remain challenging because of analytical limitations, particularly at critical interfaces in silicon-based semiconductors. Although atom probe tomography has emerged as a powerful tool, distinguishing nitrogen from silicon without isotope doping is persistently difficult. In this study, we employ advanced atom probe tomography with an extended flight path under optimized conditions to characterize the three-dimensional nitrogen distribution in actual device structures, including 2- and 5-nm-thick silicon dioxide/silicon oxynitride-based gate dielectrics and a fin-structured three-dimensional device. Our analysis reveals that the nitrogen distribution determines the formation of the nitrogen profile in gate dielectrics, which in turn affects the diffusion of impurities, ultimately impacting the electrical properties and reliability. Our work provides insights into atomic-scale nitrogen behavior, paving the way for advancing next-generation semiconductor devices.

Identifiers

PMID40593572
PMCPMC12214997

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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.