液晶与显示2025，Vol.40Issue(5)：685-696,12.DOI:10.37188/CJLCD.2025-0028
基于数据驱动的液晶材料研究进展
Recent advances in data-driven research on liquid crystal materials
摘要
Abstract
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.关键词
数据驱动/机器学习/液晶/材料科学Key words
data-driven/machine learning/liquid crystals/materials science引用本文复制引用
柳杰,齐骥,高世严,陈文艺,隋悦鑫,贺泽民,杨海燕,苗宗成..基于数据驱动的液晶材料研究进展[J].液晶与显示,2025,40(5):685-696,12.基金项目
国家自然科学基金(No.52173263) （No.52173263）
国家重点研发计划(No.2022YFB3603703) Supported by National Natural Science Foundation of China(No.52173263) （No.2022YFB3603703）
National Key Research and Development Program of China(No.2022YFB3603703) （No.2022YFB3603703）
