Expanded InSe Crystal Structure with Reduced Intrinsic Defects for High‐Performance Field‐Effect Transistors

Z Zhenhua Wang M Min Jin (Division of Psychology, State Key Laboratory of Cognitive Neuroscience and Learning, International Data Group/McGovern Institute for Brain Research, Beijing Normal University) K Kepeng Song Z Zonghao Wang (Institute of Marine Science and Technology Shandong University Qingdao 266273 China) Z Zheng Zhang S Siqi Lin H Hao Ji M Mingyuan Sun S Shuai Wang J Jing Chen H Hong Liu Y Yu Zhang (Xiangya Hospital, Central South University Changsha China) X Xuechao Liu L Lin Han

Abstract

Abstract Intrinsic defect plays a crucial role in the electrical and photoelectrical performance of InSe‐based FETs. Here, a space‐growth InSe on China Space Station with reduced intrinsic defects is reported and high‐performance InSe field‐effect transistors are developed. Spherical aberration corrected transmission electron microscope analysis reveals that the space grown InSe presents lattice expansion of 1.29% along the intralayer direction (a,b plane) and 3.65% along the interlayer direction (c‐axis). Density functional theory calculations reveal that the defect generation energy of expanded space InSe is larger than that of ground InSe, improving lattice integrity. The lattice variations in space InSe contribute to unique electronic properties with a narrower bandgap, smaller effective mass of electrons, and increased electronic states near the Fermi level, which reduces carrier scattering and facilitates electron transport. Space InSe FET presents better electrical characteristics (I on of 6.0 µA µm −1 , on/off ratio of 10 8 and hysteresis voltage of 0.6 V) and photoelectrical performance (responsivity of 5316 A W −1 and detectivity of 1.38 × 10 12 Jones) than the ground InSe FET, in which InSe is grown on the ground. This study provides unique insights into the investigation of crystal structure and promotes the development of high‐performance 2D FETs.

Article Details

Volume / Issue Vol. 38, Issue 4
Published January 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (14)

Z

Zhenhua Wang

M

Min Jin

Division of Psychology, State Key Laboratory of Cognitive Neuroscience and Learning, International Data Group/McGovern Institute for Brain Research, Beijing Normal University

K

Kepeng Song

Z

Zonghao Wang

Institute of Marine Science and Technology Shandong University Qingdao 266273 China

Z

Zheng Zhang

S

Siqi Lin

H

Hao Ji

M

Mingyuan Sun

S

Shuai Wang

J

Jing Chen

H

Hong Liu

Y

Yu Zhang

Xiangya Hospital, Central South University Changsha China

X

Xuechao Liu

L

Lin Han