메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Ji-Hee Pi (Korea National University of Transportation) Go-Eun Lee (Korea National University of Transportation) Il-Ho Kim (Korea National University of Transportation)
저널정보
대한금속·재료학회 Electronic Materials Letters Electronic Materials Letters Vol.17 No.5
발행연도
2021.9
수록면
427 - 435 (9page)
DOI
https://doi.org/10.1007/s13391-021-00298-5

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Ge-doped famatinites Cu3Sb1?yGeyS4 (0 ≤ y ≤ 0.1) were prepared by mechanical alloying and hot pressing. The phase transition,microstructure, charge transport properties and thermoelectric properties were examined in accordance with the Gecontent. The famatinites were maintained as a single phase with a tetragonal structure at temperatures below their meltingpoint without secondary phases. The melting points of Cu3SbS4and Cu3Sb0.92Ge0.08S4were 817 and 819 K, respectively. Thehot-pressed specimens exhibited high relative densities of 98.3?99.5%. The a-axis and c-axis were decreased from 0.5386 to0.5378 nm and from 1.0744 to 1.0719 nm, respectively, by doping Sb sites with Ge. Both intrinsic and Ge-doped famatinitesexhibited positive Hall and Seebeck coefficients. The carrier concentration and mobility of Cu3SbS4were 2.2 × 1018cm?3 and1.6 cm2V?1 s?1, but those of Ge-doped specimens increased to (0.4?3.3) × 1019cm?3 and 29?71 cm2V?1 s?1, respectively. Cu3SbS4exhibited non-degenerate semiconductor characteristics and demonstrated a dimensionless figure of merit, ZT, of0.1 at 623 K owing to a power factor of 0.14 m Wm?1 K?2 and a thermal conductivity of 0.62 Wm?1 K?1. However, the Gedopedspecimens exhibited degenerate semiconductor behaviors, and Cu3Sb0.92Ge0.08S4exhibited the highest ZT of 0.55 at623 K owing to a power factor of 0.64 m W m?1 K?2 and a thermal conductivity of 0.72 Wm?1 K?1.

목차

등록된 정보가 없습니다.

참고문헌 (5)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0