Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm

	Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm
	Jia Qiu; Wang K(王坤); Zhouyang Lian; Xing Yang; Wenhui Huang; Anjun Qin; Qian Wang; Jie Tian; Benzhong Tang; Shuixing Zhang
发表期刊	CHEMICAL COMMUNICATIONS
	2018
卷号	54 期号:57 页码:7955-7958
产权排序	1
摘要	Significant effort has been devoted to the research of aggregation-induced emission (AIE); however, the discovery of new AIE materials is driven mainly by laborious trial-and-error. In this study, taking triphenylamine (TPA)-based luminophores as an example, we propose an efficient machine-learning scheme for predicting AIE-activity based on quantum mechanics.
关键词	Aggregation-induced Emission Solid-state Triphenylamine Networks
收录类别	SCI
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25831
专题	中国科学院分子影像重点实验室
通讯作者	Jie Tian; Benzhong Tang; Shuixing Zhang
推荐引用方式 GB/T 7714	Jia Qiu,Wang K,Zhouyang Lian,et al. Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm[J]. CHEMICAL COMMUNICATIONS,2018,54(57):7955-7958.
APA	Jia Qiu.,Wang K.,Zhouyang Lian.,Xing Yang.,Wenhui Huang.,...&Shuixing Zhang.(2018).Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm.CHEMICAL COMMUNICATIONS,54(57),7955-7958.
MLA	Jia Qiu,et al."Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm".CHEMICAL COMMUNICATIONS 54.57(2018):7955-7958.

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