Evidence map›Paper›PMID 41165269›Full record

ArticleACS applied materials & interfaces2025

Boosting Field Emission in Black Silicon via Gold Nanoparticle Decoration Guided by High-Fidelity 3D Morphological Simulation.

Jia Li, Yuanpeng Zhang, Hui Wang, Zhengqin Zhao, Xinyi Liang, Dong Wang, Peter Schaaf, YongLiang Tang, Che Xu

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Jia LiSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.
Yuanpeng ZhangSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.
Hui WangSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.ORCID 0000-0002-7913-2254
Zhengqin ZhaoSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.
Xinyi LiangSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.
Dong WangChair of Materials for Electrical Engineering and Electronics, Institute for Micro and Nanotechnologies MacroNano and Institute for Materials Science and Engineering, Technische Universität Ilmenau, 98693 Ilmenau, Germany.ORCID 0000-0001-5940-9538
Peter SchaafChair of Materials for Electrical Engineering and Electronics, Institute for Micro and Nanotechnologies MacroNano and Institute for Materials Science and Engineering, Technische Universität Ilmenau, 98693 Ilmenau, Germany.ORCID 0000-0002-8802-6621
YongLiang TangSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.
Che XuSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 610031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overcoming the inherent limitations of nanostructured black silicon (BS) for efficient field emission (FE) cathodes remains a significant challenge. Despite its promising nanostructured morphology with sharp, controllable tips amenable to mass production, BS suffers from a high work function (∼4.5 eV), poor electrical conductivity, and inadequate heat dissipation. These material properties lead to high threshold fields, unstable emission, and low current densities. Here, we demonstrate a simple and effective strategy to dramatically enhance the FE performance of BS through surface modification with gold nanoparticles (Au-NP). Critically, we overcome the complexity of simulating highly disordered BS emitters on nonplanar surfaces by developing a high-precision three-dimensional (3D) modeling approach based on parametrized scanning electron microscope (SEM) images. This model accurately captures the intricate surface morphology and enables the exploration of the electric field and current characteristics under varying Au-NP parameters. Guided by the simulations, we experimentally fabricated gold nanoparticle-decorated BS (Au-NP@BS) cathodes and achieved a significantly enhanced emission current density up to 4.01 mA/cm

Indexed as

3D modelingblack siliconfield emissiongold nanoparticlesnanomaterials

Identifiers

PMID41165269
PMCPMC12616592

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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.