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Applied Sciences
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NANO KOREA 2022 in Applied Sciences
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NANO KOREA 2022 in Applied Sciences

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Nanotechnology and Applied Nanosciences".

Deadline for manuscript submissions: closed (2 September 2022) | Viewed by 2867

Special Issue Editors

Prof. Dr. Moongyu Jang

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Guest Editor
Department of Materials Engineering & Engineering, Hallym University, Chuncheon 24252, Korea
Interests: semiconductor logic device; memory device; display device; optoelectronic device; energy conversion; 1D nanomaterials; 2D nanomaterials; semiconductors; graphene; thermoelectrics; energy harvesting; nanolithography; photolithography; nanowire FET; electrical/electrochemical nanobiosensors
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Won Seok Chang

E-Mail Website
Guest Editor
1. Department of Nano Manufacturing Technology, Korea Institute of Machinery and Materials (KIMM), Daejeon 34103, Republic of Korea
2. Department of Nano-Mechatronics, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea
Interests: quantum dots; semiconductors; metals; nanolithography; photolithography; nanoimprint; scanning probe lithography; 3D printing; atomic force microscopy; carbon nanotube; flexible device; stretchable device; nanometrology; ultrafast laser processing; laser scanning microscopy; nanomaterial-based flexible device; maskless digital lithography
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Junhong Min

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Guest Editor
School of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
Interests: atomic force microscopy; electrical/electrochemical nanobiosensors; optical nanobiosensors; biochips; BioMEMS and BioNEMS; nanobiomaterials for environments; nanotechnology for bio-robotics; nanotechnology for tissue engineering and regenerative medicine; nanomaterials and nanotechnology in drug and gene delivery; nano-toxicology; sample preparation; molecular diagnostic system; bioanalytical engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Changhwan Choi

E-Mail Website
Guest Editor
Division of Materials Science and Engineering, Hanyang University, Seoul 04763, Republic of Korea
Interests: semiconductor logic device; memory device; power device; display device; optoelectronic device; electronic nanomaterials; semiconductors; 2D nanodevice; nanowire FET; neuromorphic computing memristive device; resistive-switching device; ferroelectric FET; flexible device; advanced semiconductor and display devices; materials; process technology
Special Issues, Collections and Topics in MDPI journals
Dr. Dukhyun Choi

E-Mail Website
Guest Editor
School of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
Interests: nano sensors; nanoenergy; electronic skin with physical sensor; plasmonics; nanostructures; nanocomposites; piezoelectronics; energy harvesting; triboelectric; atomic force microscopy; tip-enhanced Raman spectroscopy; physical sensor; flexible device; stretchable device; nanomechanics; meta-materials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The NANO KOREA Symposium, Korea’s largest symposium on nanoscale science and technology, is a meaningful occasion to confirm major research results and up-to-date research trends in Korea and overseas. The NANO KOREA 2022 Symposium, which will be held from 6 to 8 July 2022 in KINTEX, Korea, consists of advanced programs along with the main theme of ‘Nanofabrication: Connecting Science and Technology For Better Life’. The NANO KOREA Symposium 2022 Special Issue will contain research results and reviews about the most important and latest developments and future trends or visions for the convergence of various technologies from the nano- to the microscopic scale. The symposium programs will cover the following main topics: Nano Energy Harvesting.

Prof. Dr. Moongyu Jang
Prof. Dr. Won Seok Chang
Prof. Dr. Junhong Min
Prof. Dr. Changhwan Choi
Dr. Dukhyun Choi
Guest Editors

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. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nanoenergy harvesting
  • nanotechnology for solar and hydrogen energy
  • nanotechnology for next-generation energy storage
  • nanobiotechnology
  • nanomedicine
  • nanoelectronic devices
  • nanophotonics
  • hybrid nanomaterials for next-generation convergence science and technology
  • nanofabrication platform
  • nano metrology and characterization
  • nano-EHS and standardization of nanotechnology
  • AI and computational science for nanotechnology

Published Papers (2 papers)

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Research

14 pages, 3359 KiB  
Article
Experimental Study on the Heat Transfer Performance of Various Magnet Arrangements in a Closed Space Filled with Ferrofluid
by Hyun-Su Kang, Yun-Seok Choi, Hyeon-Seok Seo and Youn-Jea Kim
Appl. Sci. 2022, 12(17), 8666; https://doi.org/10.3390/app12178666 - 29 Aug 2022
Viewed by 1243
Abstract
In this study, experiments, simulations, and optimization were performed to evaluate heat transfer performance of ferrofluids. Ferrofluids are colloidal suspensions containing magnetic-nano particles with a diameter of 5 to 15 nm in a base fluid such as oil or water. Recently, as many [...] Read more.
In this study, experiments, simulations, and optimization were performed to evaluate heat transfer performance of ferrofluids. Ferrofluids are colloidal suspensions containing magnetic-nano particles with a diameter of 5 to 15 nm in a base fluid such as oil or water. Recently, as many devices are miniaturized, the design of heat dissipation systems are being diversified to consider cost and safety, and it is becoming important to separate an ancillary device for cooling from main unit. In ferrofluids, the behavior and vortex of magnetic-nano particles are actively generated by an external magnetic field, and the cooling system can be designed in a simplified manner by using this characteristic. The main design parameter is the arrangement of permanent magnets, and the output variable is the temperature inside the magnetic nanofluid. The permanent magnet can be moved up and down, and the temperature inside the magnetic nanofluid was measured at various locations. A predictive model was created using a design of experiments (DOE) and response surface method (RSM) using selected design and temperature variables. Based on the generated regression model, an optimization was applied to find a permanent magnet arrangement that maximizes heat transfer performance. Through the optimization technique used in this study, economic efficiency in terms of time and cost was obtained by reducing the number of experiments. Full article
(This article belongs to the Special Issue NANO KOREA 2022 in Applied Sciences)
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8 pages, 1045 KiB  
Article
Maximizing the Productivity of Photolithography Equipment by Machine Learning Based on Time Analytics
by Juyoung Jung, Jin-Hwan Hong, Jeewoong Suk, Hyunsoon Park and Byoungdeog Choi
Appl. Sci. 2022, 12(16), 8003; https://doi.org/10.3390/app12168003 - 10 Aug 2022
Viewed by 1149
Abstract
Maximizing productivity is one of the most critical factors for competitiveness in the manufacturing industry. Needless to say, the semiconductor industry, in which the automation rate is relatively high and the manufacturing process continues 24 h a day, requires high productivity to be [...] Read more.
Maximizing productivity is one of the most critical factors for competitiveness in the manufacturing industry. Needless to say, the semiconductor industry, in which the automation rate is relatively high and the manufacturing process continues 24 h a day, requires high productivity to be maintained. This paper is about a model that analyzes the cause of an increase in time needed for the whole photolithography process and automatically classifies it in real-time by machine learning. The time analytics model based on a k-means algorithm divides the processing time into four hundred detailed time steps and classifies causes through normalizing and clustering processes. Further, true/false measures of performance were employed based on the confusion matrix. To increase the accuracy of the model, the classified cause becomes a source for creating a new algorithm that can detect problems quickly and accurately. A small number of wafers that the system has failed to classify has accumulated in the database to increase the frequency of occurrence. As a result of evaluating the time analytics model in the photolithography extreme ultraviolet (EUV) equipment, the model has classified 98.6% of the wafers that exceed the limitation. Continuous updates of new phenomena that will be generated from advanced technologies will be more important than the current classification ability. We are accumulating unclassified data for a sustainable system and will continue to classify by synthesizing new phenomena. Data classified in real-time with high accuracy become a steppingstone for maintaining high productivity. Production equipment and processes are developed to enhance individual characteristics. Nevertheless, a data mining method that divides the process time can also be widely used in manufacturing processes of other fields. Full article
(This article belongs to the Special Issue NANO KOREA 2022 in Applied Sciences)
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