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Volume 60(8); Aug 2022
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Research Papers
557 Improvement of Device Characteristics of Low Temperature IGZO Thin-film Transistors through Laser Post Annealing
레이저 후열처리 공정을 통한 저온공정형 IGZO 박막 트랜지스터의 특성 개선에 관한 연구
Jae-Yun Lee, Anvar Tukhtaev, Suchang Yoo, Yong-Hwan Kim, Seong-Gon Choi, Heung Gyoon Ryu, Yong Jin Jeong, Sung-Jin Kim
이재윤, Anvar Tukhtaev, 유수창, 김용환, 최성곤, 유흥균, 정용진, 김성진
Korean J. Met. Mater. 2022;60(8):557-563.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.557

Abstract
High-performance thin-film transistors (TFTs) produced at low temperatures are required for ultrahigh- resolution and flexible display applications. The scientific community has been studying unconventional techniques to investigate low voltage flexible devices and low power flexible circuits for the past decade. In particular, metal oxide semiconductors, such as indium gallium zinc..... More

                        
564 Fabrication of Mesh-Patterned Transparent Heater using Large-Sized Sheets of Reduced Graphene Oxide
대면적 시트의 환원된 산화 그래핀을 활용한 메쉬 패턴 투명히터 제작
Hae-In Moon, Seung Geun Jo, Yujin Shin, Yeoul Kang, Jung Woo Lee
문해인, 조승근, 신유진, 강여울, 이정우
Korean J. Met. Mater. 2022;60(8):564-569.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.564

Abstract
Transparent heaters are widely used for defrosting to improve visibility, insulation or heating of buildings, and thermal treatment. Indium tin oxide (ITO), which has excellent transmittance and electrical conductivity, is one of the representative materials used for these transparent heaters. However, it has several drawbacks including high material price, limited..... More

                        
570 A Study on Reduced Graphene Oxide in Large-area Transparent Heaters for Defrosting
성에 제거용 대면적 투명 히터를 위한 환원된 산화 그래핀 연구
Seung Geun Jo, Hae-In Moon, Young Won Kim, Hwan Soo Dow, Jung Woo Lee
조승근, 문해인, 김영원, 도환수, 이정우
Korean J. Met. Mater. 2022;60(8):570-576.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.570

Abstract
Transparent heaters are promising devices because of their versatile applications in vehicles, smart windows, and sensors, etc. Indium tin oxide is widely used for transparent heater materials due to its high electronic conductivity and visible light transmittance. However, the cost of indium is too high, and its fabrication needs sophisticated..... More

                        
577 Improvement of Photoelectrochemical Properties of CuO Photoelectrode by Li Doping
Li 도핑에 따른 CuO 광전극의 광전기화학적 특성 개선 연구
Seongchan Bae, Sunghyeok Lee, Hyukhyun Ryu, Won-Jae Lee
배성찬, 이성혁, 류혁현, 이원재
Korean J. Met. Mater. 2022;60(8):577-586.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.577

Abstract
We fabricated a Li doped CuO photoelectrode by doping CuO with Li to improve the photoelectrochemical properties of the CuO photoelectrode. The fabricated Li doped CuO photoelectrode was optimized by experimentally investigating Li doping concentration, annealing temperature, and spin coating deposition cycle. It was confirmed that Li doped CuO had..... More

                        
587 Thermoelectric Transport Properties of Pb(Bi1-xSnx)2Te4 (0≤x≤1) compounds
Pb(Bi1-xSnx)2Te4 (0≤x≤1) 화합물의 열전수송특성 연구
Woo Hyun Nam, Young Soo Lim
남우현, 임영수
Korean J. Met. Mater. 2022;60(8):587-592.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.587

Abstract
In this study, the effect of Sb incorporation on the thermoelectric transport properties of tetradymite-type Pb(Bi2-xSbx)Te4 (0≤x≤1) compounds is presented. PbBi2Te4 (x = 0) possesses a high electron concentration of ~1.6×1020/cm3 at room temperature and exhibits n-type degenerate semiconductor behavior, in which electrical conductivity decreases and negative Seebeck coefficient increases..... More

                        
593 Thermoelectric Performance of Sn and Bi Double-Doped Permingeatite
Hee-Jae Ahn, Il-Ho Kim
Korean J. Met. Mater. 2022;60(8):593-600.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.593

Abstract
In this study, mechanical alloying was performed to synthesize permingeatite Cu3Sb1-x-ySnxBiySe4 (0.02 ≤ x ≤ 0.06 and 0.02 ≤ y ≤ 0.04) doped with Sn and Bi. Hot pressing was subsequently conducted to achieve dense sintered bodies. When the Bi content was constant, the carrier concentration increased with the Sn..... More

                        
601 ZnO Nanocrystals with Hexagonal Disk Shape Grown by Thermal Evaporation Method in Air at Atmospheric Pressure
대기압의 공기 분위기에서 열증발법에 의해 성장한 육각형 디스크 형상의 ZnO 나노결정
Geun-Hyoung Lee
이근형
Korean J. Met. Mater. 2022;60(8):601-606.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.601

Abstract
Hexagonal-shaped ZnO nanodisks were synthesized at temperatures above 1000oC via thermal evaporation of a mixture of ZnO, SnO, and graphite powders as the source materials. Notably, the ZnO nanodisks were easily formed in ambient air at atmospheric pressure. The ZnO nanodisks could not be obtained without SnO in the source..... More

                        
607 Prediction and Validation of Stress Triaxiality Assisted by Elasto-Visco-Plastic Polycrystal Model
탄점소성 다결정 모델을 활용한 삼축성 예측 및 검증
Jinhwa Park, Youngung Jeong
박진화, 정영웅
Korean J. Met. Mater. 2022;60(8):607-618.   Published online 2022 Jul 19
DOI: https://doi.org/10.3365/KJMM.2022.60.8.607

Abstract
The ΔEVPSC numerical code based on the elasto-visco-plastic HEM (Homogeneous Effective Medium) provides a multiscale constitutive modeling framework that is suitable for describing a wide range of mechanical behaviors of polycrystalline metals. In this study, an AA6061-T6 aluminum sample was chosen to validate the predictive capability of the ΔEVPSC stand-alone..... More

                        
619 Machine Learning Guided Prediction of Superhard Materials Based on Compositional Features
머신러닝을 이용한 화합물 조성기반 초경질 소재 특성 예측
Chunghee Nam
남충희
Korean J. Met. Mater. 2022;60(8):619-627.   Published online 2022 Jul 12
DOI: https://doi.org/10.3365/KJMM.2022.60.8.619

Abstract
In this study, the mechanical properties of materials were predicted using machine learning to search for superhard materials. Based on an AFOW database consisting of DFT quantum calculation values, the mechanical properties of materials were predicted using various machine learning models. For supervised learning, the entire data was divided into..... More

                        
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