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)![]() ![]() ![]() |
刊名 | CHEMICAL COMMUNICATIONS
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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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