Boosting PZT ferroelectric and optoelectronic properties for intelligent recognition via strain relaxation control through buffer layer thicknessoptimization
image: By precisely regulating the interface structure between PZT thin films and substrates, the ferroelectric polarization can be enhanced. In the field of photoelectric sensing, PZT materials that modified via interface engineering exhibit outstanding capabilities in detecting optical signals, efficiently and rapidly converting optical signals into electrical signals, and achieving precise perception and rapid response to ambient light. This characteristic gives it a significant advantage in areas such as intelligent traffic signal recognition, providing new possibilities for the development of future intelligent systems.
Credit: Nano Research Tsinghua University Press
In the contemporary era of rapid technological advancement, ferroelectric materials have attracted considerable attention due to their unique information storage and processing capabilities, exhibiting substantial potential for applications in smart devices and intelligent systems. Recently, a research team led by Professor Yifei Pei from Hebei University has achieved a significant breakthrough in optimizing the performance of ferroelectric materials via innovative strain engineering techniques, with particular emphasis on enhancing their ferroelectric and optoelectronic properties.
By precisely controlling the thickness of the inserted layer, the team effectively regulated the internal stress distribution of the ferroelectric material, thereby significantly enhancing its ferroelectric performance. The optimized material not only demonstrated superior storage capacity and response speed but also exhibited remarkably improved optoelectronic sensing capabilities. These advancements have laid a solid foundation for the application of ferroelectric materials in intelligent systems, particularly in smart traffic signal recognition systems where an accuracy rate of up to 93.23% was achieved even under complex and variable weather conditions.
The study was published in the journal Nano Research on March 2, underscoring the team’s innovative contributions to the field of ferroelectric materials. Professor Pei emphasized that strain engineering has significantly enhanced the performance of ferroelectric materials, unlocking substantial potential for optoelectronic sensing applications. The material enables efficient information storage and processing, along with high-fidelity conversion of optical signals to electrical signals, thereby achieving precise perception and rapid response to ambient light—rendering it highly suitable for smart traffic systems.
The research team explored the application potential of ferroelectric materials in multifunctional devices, successfully developing devices capable of both signal sensing and generation. This dual functionality opens new avenues for improving the interactivity and responsiveness of intelligent systems. By tailoring the internal structure of the material, the team enhanced its sensitivity to signal detection in dynamic environments, expanding its application prospects in high-precision fields. Looking forward, the team aims to realize the wide application of this high-performance ferroelectric material in human-machine interaction (HMI) scenarios to enhance interactivity and user experience. Professor Pei highlighted that this research not only provides an efficient technical solution for smart traffic systems but also lays a new foundation for the advancement of future HMI technologies.
The contributors to this research include Yue Hou, Kangbo Zhao, Haoyuan Tian, Zhijin Duo, Mengya Guo, Weifeng Zhang, Kunpeng He, Shuohua Ma, Jianxin Guo, Jianhui Zhao, Yifei Pei, Xiaobing Yan from Hebei University in China.The work was supported by the National Key Research and Development Program of China (2021YFA1200502), the National Natural Science Foundation of China (61874158, 62004056, 62104058), and the Hebei Provincial Key Basic Research Program (F2021201045). The funding from these national and regional research programs underscores the significance of this study in advancing technological innovation.
Team Introduction
Led by Professor Yan Xiaobing from Hebei University, this research team is affiliated with the "Brain-like Intelligent Devices and Chips" research group. Our primary research focus lies in memristors and brain-inspired computing devices, with a track record of impactful contributions to the field. To date, the team has published a series of high-quality research articles in top-tier journals, including Nature Communications, Advanced Materials, and Advanced Functional Materials—work that has established a solid foundation for the current study. Additionally, a recently published comprehensive review article further underscores the team’s profound academic accumulation and significant contributions to the advancement of memristor-based brain-like computing.
DOI Link:
https://doi.org/10.26599/NR.2025.94908289
About Nano Research
Nano Research is a peer-reviewed, open access, international and interdisciplinary research journal, sponsored by Tsinghua University and the Chinese Chemical Society, published by Tsinghua University Press on the platform SciOpen. It publishes original high-quality research and significant review articles on all aspects of nanoscience and nanotechnology, ranging from basic aspects of the science of nanoscale materials to practical applications of such materials. After 18 years of development, it has become one of the most influential academic journals in the nano field. Nano Research has published more than 1,000 papers every year from 2022, with its cumulative count surpassing 8,000 articles. In 2025 InCites Journal Citation Reports, its 2025 IF is 9.4 (8.3, 5 years), and it continues to be the Q1 area among the four subject classifications. Nano Research Award, established by Nano Research together with TUP and Springer Nature in 2013, and Nano Research Young Innovators (NR45) Awards, established by Nano Research in 2018, have become international academic awards with global influence.