ScholarWorks@Gyeongsang National University

Browsing by Lee, Yeon-JuAuthor

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 6 of 6

SCIE
Enhanced Electrochemical Performances of Ni-Rich LiNi0.8Co0.15Al0.05O2 Cathode Materials by Ti Doping or/and Al(OH)(3) Coating

Han, Un-Gi; Lee, Yeon-Ju; Cho, Gyu-Bong; Lim, Su-Gun; Kim, Ki-Won; Ahn, Jou-Hyeon; Cho, Kwon-Koo

ArticleIssue Date2020CitationSCIENCE OF ADVANCED MATERIALS, v.12, no.9, pp 1283 - 1288PublisherAMER SCIENTIFIC PUBLISHERS
SCIE
Fabrication of Nickel Sulfide/Nitrogen-Doped Reduced Graphene Oxide Nanocomposite as Anode Material for Lithium-Ion Batteries and Its Electrochemical Performance

Lee, Yeon-Ju; Ha, Tae-Hyun; Cho, Gyu-Bong; Kim, Ki-Won; Ahn, Jou-Hyeon; Cho, Kwon-Koo

ArticleIssue Date2020CitationJOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY, v.20, no.11, pp 6782 - 6787PublisherAMER SCIENTIFIC PUBLISHERS
SCIESCOPUS
Optimization of carbon coating thickness to prevent crack generation in Sn nanoparticles during charge/discharge process and their electrochemical properties

Choi, Ji-Seub; Lee, Yeon-Ju; Lee, Hoi-Jin; Cho, Gyu-Bong; Byeon, Jai-Won; Ahn, Hyo-Jun; Kim, Ki-Won; Ahn, Jou-Hyeon; Cho, Kwon-Koo

ArticleIssue Date2020CitationJournal of Alloys and Compounds, v.843PublisherElsevier BV
SCIE
Synthesis and Electrochemical Properties of MoS2/rGO/S Composite as a Cathode Material for Lithium-Sulfur Batteries

Reddy, Bhumi Reddy Srinivasulu; Premasudha, Mookala; Lee, Yeon-Ju; Ahn, Hyo-Jun; Reddy, Nagireddy Gari Subba; Ahn, Jou-Hyeon; Cho, Kwon-Koo

ArticleIssue Date2020CitationJournal of Nanoscience and Nanotechnology, v.20, no.11, pp 7087 - 7091PublisherAmerican Scientific Publishers
SCIESCOPUS
Synthesis and electrochemical properties of nickel sulfide/carbon composite as anode material for lithium-ion and sodium-ion batteries

Lee, Yeon-Ju; Reddy, B. S.; Hong, Hyeon-A; Kim, Ki-Won; Cho, Seong-Jin; Ahn, Hyo-Jun; Ahn, Jou-Hyeon; Cho, Kwon-Koo

ArticleIssue Date2022CitationInternational Journal of Energy Research, v.46, no.12, pp 16883 - 16895PublisherJohn Wiley & Sons Inc.
SCIESCOPUS
Using artificial neural networks to model and interpret electrospun polysaccharide (HylonVIIstarch) nanofiber diameter

Premasudha, Mookala; Bhumi Reddy, Srinivasulu Reddy; Lee, Yeon-Ju; Panigrahi, Bharat B.; Cho, Kwon-Koo; Nagireddy Gari, Subba Reddy

ArticleIssue Date2021CitationJournal of Applied Polymer Science, v.138, no.11PublisherJohn Wiley & Sons Inc.
1

RSS_1.0 RSS_2.0 ATOM_1.0

Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532

COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

BROWSE

한국어