New Advances in Plasma Deposition and Its Applications
A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Plasma Coatings, Surfaces & Interfaces".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 9387
Special Issue Editor
Interests: numerical simulations of process plasma; plasma torches; thermal chemical vapor deposition; particle transport; remote plasma cleaning; molecular dynamics; ab initio calculation
Special Issue Information
Dear Colleagues,
I would like to invite you to submit your work for publication in a Special Issue on “New Advances in Plasma Deposition and Its Applications”. The emergence of technologies such as cloud computing, big data, the Internet of Things, and smartphones is generating enormous amounts of data. In the era of the 4th Industrial Revolution, for example, high-end storage devices such as vertical NOT-AND flash memory chips have become essential. In this regard, thin film deposition technology has made substantial progress toward demonstrating its inherent advantages for the development of state-of-the-art devices. Furthermore, plasma deposition technologies such as plasma-enhanced chemical vapor deposition (PECVD) and plasma-enhanced atomic layer deposition (PEALD) have become major process tools because they offer the ability to uniformly grow these films at a high deposition rate. However, plasma deposition involves a complex process, which is not easy to analyze, primarily because the results of this process are sensitively influenced by a large number of input parameters, such as electrical power, modulation of radio frequency, mole fractions of source gases, gas pressure, reactor wall temperature, gas feeding condition, material of the reactor parts, the surface of the electrode, and the gas flow field. Despite the physical and chemical complexities of plasma deposition not being sufficiently resolved, the size of devices continues to shrink, requiring compliance with exact specifications, such as the extremely high uniformity of film characteristics. At the same time, industrial applications additionally demand process repeatability. Thus, the aim of this Special Issue is to present new advances in plasma deposition and the application thereof based on the fundamental approach through a combination of original research papers, short communications, and review articles from leading research groups.
About the Topics of Interest
In particular, the topics of interest include but are not limited to
- Fundamental understanding of plasma deposition;
- Plasma deposition simulation techniques (particle in cell, fluid models, molecular dynamics, ab initio calculations, etc.);
- Characterization and analysis of plasma deposited films;
- Industrial applications (reactor modification, artificial intelligence, automatic process control, etc.).
Prof. Dr. Ho Jun Kim
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Coatings is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- Plasma simulation
- Molecular dynamics
- Ab initio calculation
- Plasma diagnostics
- Machine learning for plasma deposition
- Surface analysis
- Plasma-enhanced chemical vapor deposition
- Plasma-enhanced atomic layer deposition
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