Evidence map›Paper›PMID 35957151›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Fabricating Graphene Oxide/h-BN Metal Insulator Semiconductor Diodes by Nanosecond Laser Irradiation.

Siddharth Gupta, Pratik Joshi, Ritesh Sachan, Jagdish Narayan

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Impact of 2DNanomaterials (Basel, Switzerland) · 2026
    Article
  2. Article
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

4 authors.

Siddharth GuptaDepartment of Materials Science and Engineering, Centennial Campus, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0001-5725-0068
Pratik JoshiDepartment of Materials Science and Engineering, Centennial Campus, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-3549-2047
Ritesh SachanSchool of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK 74078, USA.ORCID 0000-0002-3604-1467
Jagdish NarayanDepartment of Materials Science and Engineering, Centennial Campus, North Carolina State University, Raleigh, NC 27695, USA.

Funding

ARO W911NF-17-1-0596National Science Foundation DMR-1735695
6 · The paper itself

Abstract

To employ graphene's rapid conduction in 2D devices, a heterostructure with a broad bandgap dielectric that is free of traps is required. Within this paradigm, h-BN is a good candidate because of its graphene-like structure and ultrawide bandgap. We show how to make such a heterostructure by irradiating alternating layers of a-C and a-BN film with a nanosecond excimer laser, melting and zone-refining constituent layers in the process. With Raman spectroscopy and ToF-SIMS analyses, we demonstrate this localized zone-refining into phase-pure h-BN and rGO films with distinct Raman vibrational modes and SIMS profile flattening after laser irradiation. Furthermore, in comparing laser-irradiated rGO-Si MS and rGO/h-BN/Si MIS diodes, the MIS diodes exhibit an increased turn-on voltage (4.4 V) and low leakage current. The MIS diode I-V characteristics reveal direct tunneling conduction under low bias and Fowler-Nordheim tunneling in the high-voltage regime, turning the MIS diode ON with improved rectification and current flow. This study sheds light on the nonequilibrium approaches to engineering h-BN and graphene heterostructures for ultrathin field effect transistor device development.

Indexed as

2D materialsFowler-Nordheim tunnelinggrapheneh-BNlaser irradiationmolecular dynamicsRaman spectroscopytransmission electron microscopy

Identifiers

PMID35957151
PMCPMC9370297

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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.