封面图片：使用过二亚胺受体的有机光伏分子结构描述符辅助机器学习 (BKCS 1/2024) Gyu-Hee Kim、Keonho Yoon、Chihyung Lee、Minwoo Nam、Doo-Hyun Ko

IF 1.7 4区化学

Bulletin of the Korean Chemical Society Pub Date : 2024-02-23 DOI:10.1002/bkcs.12726

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引用次数: 0

摘要

封面图片展示了预测有机光伏性能的人工智能模型。该模型仅利用体异质结光活性层中有机半导体的分子结构，就能预测有机光伏器件在 1 个太阳 AM 1.5 G 光照下的性能。目标有机光电元件的有机半导体包括聚合物供体和湾位连接的二(bay-position-linked)二(diperylenediimide)受体。更多详情，请参阅文章 Gyu-Hee Kim、Keonho Yoon、Chihyung Lee、Minwoo Nam、Doo-Hyun Ko。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Cover Picture: Molecular Structural Descriptor-Assisted Machine Learning for Organic Photovoltaics with Perylenediimide Acceptors (BKCS 1/2024) Gyu-Hee Kim, Keonho Yoon, Chihyung Lee, Minwoo Nam, Doo-Hyun Ko

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The cover picture illustrates the artificial intelligence model that predicts the performance of organic photovoltaics. This model predicts how organic photovoltaics will perform under 1 sun AM 1.5 G illumination by using only the molecular structure of the organic semiconductors within the bulk heterojunction photoactive layer. The organic semiconductors of the target organic photovoltaics comprise polymer donors and bay-position-linked diperylenediimide acceptors. More details are available in the article Gyu-Hee Kim, Keonho Yoon, Chihyung Lee, Minwoo Nam, Doo-Hyun Ko

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来源期刊

Bulletin of the Korean Chemical Society Chemistry-General Chemistry

自引率

23.50%

发文量

182

期刊介绍： The Bulletin of the Korean Chemical Society is an official research journal of the Korean Chemical Society. It was founded in 1980 and reaches out to the chemical community worldwide. It is strictly peer-reviewed and welcomes Accounts, Communications, Articles, and Notes written in English. The scope of the journal covers all major areas of chemistry: analytical chemistry, electrochemistry, industrial chemistry, inorganic chemistry, life-science chemistry, macromolecular chemistry, organic synthesis, non-synthetic organic chemistry, physical chemistry, and materials chemistry.