Evidence map›Paper›PMID 33512575›Full record

ReviewNanoscale research letters2021

Electrically Doped Nanoscale Devices Using First-Principle Approach: A Comprehensive Survey.

Debarati Dey, Debashis De, Ali Ahmadian, Ferial Ghaemi, Norazak Senu

Abstract readReview
In one paragraph

Review in Nanoscale research letters, 2021. 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

5 authors.

Debarati DeyDepartment of Electronics and Communication Engineering, B. P. Poddar Institute of Management and Technology, 137, V. I. P Road, Kolkata, West Bengal, 700 052, India.
Debashis DeDepartment of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, NH-12(Old NH-34), Haringhata, Post Office - Simhat, P.S. - Haringhata, Pin - 741249, Kolkata, West Bengal, 700 064, India.
Ali AhmadianInstitute of IR 4.0, The National University of Malaysia (UKM), 43600, Bangi, Selangor, Malaysia. ali.ahmadian@ukm.edu.my.ORCID http://orcid.org/0000-0002-0106-7050
Ferial GhaemiDepartment of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia.
Norazak SenuInstitute for Mathematical Research (INSPEM), Universiti Putra Malaysia (UPM), 43400, Serdang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Doping is the key feature in semiconductor device fabrication. Many strategies have been discovered for controlling doping in the area of semiconductor physics during the past few decades. Electrical doping is a promising strategy that is used for effective tuning of the charge populations, electronic properties, and transmission properties. This doping process reduces the risk of high temperature, contamination of foreign particles. Significant experimental and theoretical efforts are demonstrated to study the characteristics of electrical doping during the past few decades. In this article, we first briefly review the historical roadmap of electrical doping. Secondly, we will discuss electrical doping at the molecular level. Thus, we will review some experimental works at the molecular level along with we review a variety of research works that are performed based on electrical doping. Then we figure out importance of electrical doping and its importance. Furthermore, we describe the methods of electrical doping. Finally, we conclude with a brief comparative study between electrical and conventional doping methods.

Indexed as

DFTElectrical dopingFirst principleMolecular modelingNEGF

Identifiers

PMID33512575
PMCPMC7846636

What OpenQuestion holds

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LicenceCC BY
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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.