中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction and Understanding of AIE Effect by Quantum Mechanics-aided Machine-Learning Algorithm

文献类型:期刊论文

作者Jia Qiu; Wang K(王坤); Zhouyang Lian; Xing Yang; Wenhui Huang; Anjun Qin; Qian Wang; Jie Tian; Benzhong Tang; Shuixing Zhang
刊名CHEMICAL COMMUNICATIONS
出版日期2018
卷号54期号:57页码:7955-7958
关键词Aggregation-induced Emission Solid-state Triphenylamine Networks
产权排序1
英文摘要

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.

源URL[http://ir.ia.ac.cn/handle/173211/25831]  
专题自动化研究所_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.

入库方式: OAI收割

来源:自动化研究所

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