Application of Graphene-Based Materials, 2nd Volume

Abstract submission deadline

30 August 2024

Manuscript submission deadline

30 October 2024

Viewed by

1945

Topic Information

Dear Colleagues,

Graphene has attracted widespread attention as one of the main representatives of new nanosized carbonaceous materials. Graphene is formed by a single layer of carbon atoms, arranged as a two-dimensional honeycomb crystal. Graphene has recently become a research hotspot in the field of composite materials. The two-dimensional plane structure of graphene enables a very high in-plane thermal/electrical conductivity, making it one of the most ideal materials for improving the thermal/electrical conductivity of common insulating polymers. Since then, it has broad application prospects in electronic devices, biological and chemical sensors, energy storage devices and polymer-based composite materials. This Special Issue, entitled "Application of Graphene-Based Materials", will introduce not only the polymer fields that have recently become a hot issue, but also applications through basic research, processing, post-treatment, and fields across all materials. Papers that summarize selected areas (reviews) or discuss the latest field research (original articles) are sought. The scope of the Special Issue includes the synthesis and characterization of graphene nanocomposites used for several applications, including polymer nanocomposites containing graphene, graphene-based materials and hybrid nano-assemblies. This Topic seeks high-quality works focusing on the following topics:

• Graphene, RGO, and GO-based hybrids
• Functionalized graphene-based hybrids
• Nanocomposite: synthesis, morphology, and characterization
• Processing/applications
• Graphene hybrid materials in engineering applications
• Electrical conductivity in composites
• Theoretical and experimental methods
• New technological trends of graphene
• Paradigms of modern manufacturing systems

Dr. Marcelo Antunes
Prof. Dr. Chih-Wei Chiu
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.7	4.5	2011	16.9 Days	CHF 2400	Submit
C carbon	4.1	-	2015	23.8 Days	CHF 1600	Submit
Electronic Materials electronicmat	-	-	2020	17 Days	CHF 1000	Submit
Nanomaterials nanomaterials	5.3	7.4	2010	13.6 Days	CHF 2900	Submit
Polymers polymers	5.0	6.6	2009	13.7 Days	CHF 2700	Submit

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

1. Immediately share your ideas ahead of publication and establish your research priority;
2. Protect your idea from being stolen with this time-stamped preprint article;
3. Enhance the exposure and impact of your research;
4. Receive feedback from your peers in advance;
5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (2 papers)

Order results

Content type Publication Date

Result details

Normal Extended Compact

Journals

All Applied Sciences C Electronic Materials Nanomaterials Polymers

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

Error

Oops... you haven't selected anything for export.

Ok

clear

14 pages, 7913 KiB  

Open AccessArticle

A Study on the Field Emission Characteristics of High-Quality Wrinkled Multilayer Graphene Cathodes

by Wenmei Lv, Lian Wang, Yiwei Lu, Dong Wang, Hui Wang, Yuxin Hao, Yuanpeng Zhang, Zeqi Sun and Yongliang Tang

Nanomaterials 2024, 14(7), 613; https://0-doi-org.brum.beds.ac.uk/10.3390/nano14070613 - 30 Mar 2024

Viewed by 485

Abstract

Field emission (FE) necessitates cathode materials with low work function and high thermal and electrical conductivity and stability. To meet these requirements, we developed FE cathodes based on high-quality wrinkled multilayer graphene (MLG) prepared using the bubble-assisted chemical vapor deposition (B-CVD) method and [...] Read more.

Field emission (FE) necessitates cathode materials with low work function and high thermal and electrical conductivity and stability. To meet these requirements, we developed FE cathodes based on high-quality wrinkled multilayer graphene (MLG) prepared using the bubble-assisted chemical vapor deposition (B-CVD) method and investigated their emission characteristics. The result showed that MLG cathodes prepared using the spin-coating method exhibited a high field emission current density (~7.9 mA/cm²), indicating the excellent intrinsic emission performance of the MLG. However, the weak adhesion between the MLG and the substrate led to the poor stability of the cathode. Screen printing was employed to prepare the cathode to improve stability, and the influence of a silver buffer layer was explored on the cathode’s performance. The results demonstrated that these cathodes exhibited better emission stability, and the silver buffer layer further enhanced the comprehensive field emission performance. The optimized cathode possesses low turn-on field strength (~1.5 V/μm), low threshold field strength (~2.65 V/μm), high current density (~10.5 mA/cm²), and good emission uniformity. Moreover, the cathode also exhibits excellent emission stability, with a current fluctuation of only 6.28% during a 4-h test at 1530 V. Full article

(This article belongs to the Topic Application of Graphene-Based Materials, 2nd Volume)

►▼ Show Figures

Figure 1

10 pages, 2547 KiB  

Open AccessArticle

Machine Learning-Assisted Identification of Single-Layer Graphene via Color Variation Analysis

by Eunseo Yang, Miri Seo, Hanee Rhee, Yugyeong Je, Hyunjeong Jeong and Sang Wook Lee

Nanomaterials 2024, 14(2), 183; https://0-doi-org.brum.beds.ac.uk/10.3390/nano14020183 - 12 Jan 2024

Viewed by 840

Abstract

Techniques such as using an optical microscope and Raman spectroscopy are common methods for detecting single-layer graphene. Instead of relying on these laborious and expensive methods, we suggest a novel approach inspired by skilled human researchers who can detect single-layer graphene by simply [...] Read more.

Techniques such as using an optical microscope and Raman spectroscopy are common methods for detecting single-layer graphene. Instead of relying on these laborious and expensive methods, we suggest a novel approach inspired by skilled human researchers who can detect single-layer graphene by simply observing color differences between graphene flakes and the background substrate in optical microscope images. This approach implemented the human cognitive process by emulating it through our data extraction process and machine learning algorithm. We obtained approximately 300,000 pixel-level color difference data from 140 graphene flakes from 45 optical microscope images. We utilized the average and standard deviation of the color difference data for each flake for machine learning. As a result, we achieved F1-Scores of over 0.90 and 0.92 in identifying 60 and 50 flakes from green and pink substrate images, respectively. Our machine learning-assisted computing system offers a cost-effective and universal solution for detecting the number of graphene layers in diverse experimental environments, saving both time and resources. We anticipate that this approach can be extended to classify the properties of other 2D materials. Full article

(This article belongs to the Topic Application of Graphene-Based Materials, 2nd Volume)

►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

 

Error

Oops... you haven't selected anything for export.

Ok

clear

Displaying articles 1-2