基于绿色能源理念的数字化有机太阳能电池设计、计算、制备与表征

引用本文: 胡笑添, 邱彬桓, 乐晶琳, 代闰锐, 吕小兰, 胡昱. 基于绿色能源理念的数字化有机太阳能电池设计、计算、制备与表征[J]. 大学化学, 2026, 41(1): 298-309. doi: 10.12461/PKU.DXHX202506034 shu

Citation: Xiaotian Hu, Binhuan Qiu, Jinglin Le, Runrui Dai, Xiaolan Lü, Yu Hu. Digital Design, Computational Modeling, Fabrication and Characterization of Organic Solar Cells Based on Green Energy Principles[J]. University Chemistry, 2026, 41(1): 298-309. doi: 10.12461/PKU.DXHX202506034 shu

基于绿色能源理念的数字化有机太阳能电池设计、计算、制备与表征

胡笑添 ^{1,2,
,} ,
邱彬桓 ^1, ,
乐晶琳 ^2, ,
代闰锐 ^1, ,
吕小兰 ^2, ,
胡昱 ^{2,,
,}

1.
南昌大学际銮书院, 南昌 330031;
2.
南昌大学化学化工学院, 南昌 330031

通讯作者: 胡笑添，E-mail:happyhu@ncu.edu.cn; 胡昱，E-mail:huyu@ncu.edu.cn

基金项目:
国家自然科学基金(52222312, 22461142139, 52573277)；江西省自然科学基金

摘要: 推进绿色能源技术构成了可持续发展战略的核心组成部分，同时也成为高等院校化学学科教育的关键教学模块。有机太阳能电池凭借其质量轻盈、材料柔韧及规模化制造的技术特点，已发展为可再生能源领域的重要技术路线。本文通过数字化手段，结合人工智能技术、高通量光学模拟和数字孪生技术，设计了一个创新的实验项目，有助于学生深刻掌握有机太阳能电池的基本工作原理，同时推动该实验在教学中的广泛应用。通过AI教师辅助、实验参数设计和数据分析“数字化”的人机互动，让学生在实践中掌握有机太阳能电池的专业知识，强化自主学习探究能力，为数字化可再生能源产业的人才队伍建设给予保障。本实验不仅与时俱进地引入数字化设计，也为化学类人才培养提供数字化教学思路。

关键词:

English

Digital Design, Computational Modeling, Fabrication and Characterization of Organic Solar Cells Based on Green Energy Principles

Xiaotian Hu ^{1,2,
,} ,
Binhuan Qiu ^1, ,
Jinglin Le ^2, ,
Runrui Dai ^1, ,
Xiaolan Lü ^2, ,
Yu Hu ^{2,,
,}

1.
School of Ji Luan, Nanchang University, Nanchang 330031, China;
2.
School of Chemistry and Chemical Engineering, Nanchang University, Nanchang 330031, China

Corresponding author: Xiaotian Hu, ; Yu Hu,

Received Date: 10 June 2025
Revised Date: 09 September 2025
Available Online: 04 December 2025

Abstract: Advancing green energy technologies constitutes a core component of sustainable development strategies and has emerged as a crucial educational module in university chemistry curricula. Organic solar cells, with their distinctive advantages of lightweight construction, material flexibility, and scalable manufacturing potential, have developed into a significant technological pathway in renewable energy. This study presents an innovative experimental project that employs digital methodologies integrating artificial intelligence, high-throughput optical simulations, and digital twin technology. The project facilitates students’ comprehensive understanding of fundamental operational mechanisms in organic solar cells while promoting wider pedagogical adoption of such experiments. Through digitized human-computer interactions involving AI-assisted instruction, experimental parameter design, and data analysis, students acquire specialized knowledge of organic solar cells through hands-on practice, thereby enhancing autonomous learning and research capabilities. This approach contributes to talent development for the digitalized renewable energy sector. The experiment not only incorporates contemporary digital design elements but also provides a digital teaching framework for cultivating chemistry professionals.

Key words:

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

基于绿色能源理念的数字化有机太阳能电池设计、计算、制备与表征

通讯作者: 胡笑添，E-mail:happyhu@ncu.edu.cn; 胡昱，E-mail:huyu@ncu.edu.cn

English

Digital Design, Computational Modeling, Fabrication and Characterization of Organic Solar Cells Based on Green Energy Principles

Corresponding author: Xiaotian Hu, ; Yu Hu,

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通讯作者: 陈斌, bchen63@163.com

中国化学会秘书处

基于绿色能源理念的数字化有机太阳能电池设计、计算、制备与表征

通讯作者: 胡笑添，E-mail:happyhu@ncu.edu.cn; 胡昱，E-mail:huyu@ncu.edu.cn

English

Digital Design, Computational Modeling, Fabrication and Characterization of Organic Solar Cells Based on Green Energy Principles

Corresponding author: Xiaotian Hu, ; Yu Hu,

CCS Chemistry：嵌段共聚物自组装成 “三明治”二维有机材料，实现纳米级压力传感功能

CCS Chemistry：颜徐州、鲍哲南： 你的皮肤可能是一片SPMs

CCS Chemistry：工作高效不疲劳，只须让催化剂动起来

CCS Chemistry：静电组装导向聚合- 聚电解质纳米凝胶量化制备新策略

CCS Chemistry：金黄色葡萄球菌醛基脱氢酶是如何识别特异性底物的？

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通讯作者: 陈斌, bchen63@163.com

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