Evidence map›Paper›PMID 39444421›Full record

ArticleJournal of applied physics2019

Probe assisted localized doping of aluminum into silicon substrates.

Jung-Joon Ahn, Santiago D Solares, Lin You, Hanaul Noh, Joseph Kopanski, Yaw Obeng

Abstract read
In one paragraph

Article in Journal of applied physics, 2019. 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.

Jung-Joon AhnPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA.
Santiago D SolaresDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington, DC 20052, USA.
Lin YouPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA.
Hanaul NohDepartment of Mechanical and Aerospace Engineering, The George Washington University, Washington, DC 20052, USA.ORCID 0000-0002-1522-9049
Joseph KopanskiPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA.ORCID 0000-0001-5802-3801
Yaw ObengPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA.ORCID 0000-0002-4880-1689

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Precise control of dopant placement is crucial for the reproducible, and reliable, nanoscale semiconductor device fabrication. In this paper, we demonstrate an atomic force microscopy (AFM) probe assisted localized doping of aluminum into an n-type silicon (100) wafer to generate nanoscale counter-doped junctions within two nanometers of the silicon-air interface. The local doping results in changes in electrostatic potential, which are reported as contact potential difference, with nanoscale spatial resolution. In contrast to the literature where nano-mechanical defects in, or contaminants on, silicon substrates can result in measurable changes in the chemical potential of the near-surface, additional thermal treatment was needed to electrically activate the aluminum dopants in our current work. Unfortunately, the thermal activation step also caused the dopants to diffuse and geometric distortions in the doped area, i.e., broadening and blurring of the electrically distinct areas. The results from optimization efforts show that the "active" dopant concentration depended primarily on the thermal anneal temperature; additional AFM-tip dwell time during the aluminum implantation step had no meaningful impact on the electrical activity of the doped sites.

Identifiers

PMID39444421
PMCPMC11497413

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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.