Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 5, 685(2025)
Recent advances in data-driven research on liquid crystal materials
Liquid crystal materials, with their dual properties of solid and liquid states, offer unique advantages in materials science and applications. In recent years, data-driven approaches have been widely applied in research areas such as liquid crystal phase classification, material design and performance prediction, and sensor technologies. Through data-driven techniques like machine learning, significant progress has been made in the prediction of liquid crystal phase transitions, evaluation of physicochemical properties, and optimization of sensor performance. These studies have not only enhanced the performance of liquid crystal materials but also expanded their potential applications in fields such as intelligent sensors, gas detection, environmental monitoring, and biosensing. This review summarizes the domestic and international research progress on data-driven liquid crystal materials, discusses their prospects in material design, optimization, and applications, and provides insights into the future directions of liquid crystal materials science.
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jie LIU, QI ji, Shiyan GAO, Wenyi CHEN, Yuexin SUI, Zemin HE, Haiyan YANG, Zongcheng MIAO. Recent advances in data-driven research on liquid crystal materials[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(5): 685
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Received: Feb. 11, 2025
Accepted: --
Published Online: Jun. 18, 2025
The Author Email: Zongcheng MIAO (miaozongcheng@nwpu.edu.cn)