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Yongbiao Zhai Assistant professor

  • Office room:Room 909, Zhiteng Building
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  • E-mail:zhaiyb@szu.edu.cn
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Personal Details

Basic Information

lTitle:    Assistant professor/ Specially appointed researcher

lEmail:   zhaiyb@szu.edu.cn

lOffice:   Room 909, Zhiteng Building


Brief Introduction

Yongbiao Zhai is an Assistant professor/Specially appointed researcher at the College of Electronics and Information Engineering at Shenzhen University and a recognized high-level talent in Shenzhen. He has been actively engaged in the research and development of novel electronic devices in the field of brain-inspired neuromorphic devices. As the first author or corresponding author, he has published more than 10 papers in prestigious journals, including Advanced Materials, Applied Physics Reviews, and Advanced Functional Materials. Furthermore, Dr. Zhai also take charge of some national-level projects.


Education Background

[1]2010: Bachelor, Materials Science from the School of Materials Science and Engineering, Yanshan University.

[2]2013: Master, Materials Physics and Chemistry, University of Chinese Academy of Sciences.

[3]2017: Ph. D, Materials Physics and Chemistry, University of Chinese Academy of Sciences.


Working Experience

[1]2017-2019: Postdoctoral Researcher at the School of Electronic Science and Technology, Shenzhen University.

[2]2019-2023: Associate Researcher at the College of Electronics and Information Engineering, Shenzhen University.

[3]2023-Present: Assistant Professor at the College of Electronics and Information Engineering, Shenzhen University.


Current Research Directions

[1]Memristors and Neuromorphic Devices

[2]Transistor-Based Flash Memory Devices


Representative Publications

1.Device-Level in-Sensor Olfactory Perception System Based on Array of PCBM-MAPbI3 Heterostructure Transistors, Advanced Functional Materials, 2024, 2406239.

2.Reconfigurable 2D-ferroelectric platform for neuromorphic computing, Applied Physics Reviews, 2023, 10, 011408.

3.2D Heterostructure for High-Order Spatiotemporal Information Processing, Advanced Functional Materials, 2022, 32, 2108440.

4.Energy-efficient transistors: suppressing the subthreshold swing below the physical limit. Materials Horizons, 2021, 5, 641-654.

5.Near infrared neuromorphic computing via upconversion-mediated optogenetics, Nano Energy, 2020,67, 104262.

6.Infrared-sensitive memory based on direct-grown MoS2-upconversion nanoparticle heterostructure, Advanced Materials, 2018, 1803563.

7.Toward non-volatile photonic memory: concept, material and design, Materials Horizons, 2018, 5, 641-654.