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Intermolecular 3D-MoRSE Descriptors for Fast and Accurate Prediction of Electronic Couplings in Organic Semiconductors.
Ma, Jiacheng; Du, Zhenya; Lei, Zhanpeng; Wang, Lewen; Yu, Yinye; Ye, Xin; Ou, Wen; Wei, Xingzhan; Ai, Bin; Zhou, Yecheng.
Affiliation
  • Ma J; Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Material Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
  • Du Z; Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Material Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
  • Lei Z; Guangzhou Xinhua University, Guangzhou 510520, China.
  • Wang L; Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Material Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
  • Yu Y; Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Material Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
  • Ye X; Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Material Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
  • Ou W; Micro-Nano Manufacturing and System Integration Center, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
  • Wei X; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Ai B; Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Material Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
  • Zhou Y; Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, School of Material Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
J Chem Inf Model ; 63(16): 5089-5096, 2023 08 28.
Article in En | MEDLINE | ID: mdl-37566518
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semiconductors Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semiconductors Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2023 Document type: Article Affiliation country: Country of publication: