大学化学 >> 2026, Vol. 41 >> Issue (1): 298-309.doi: 10.12461/PKU.DXHX202506034

所属专题： 化学实验数字化设计竞赛获奖作品

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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. 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
  • 收稿日期:2025-06-10 录用日期:2025-09-09 发布日期:2025-12-30
  • 通讯作者: 胡笑添, 胡昱 E-mail:happyhu@ncu.edu.cn;huyu@ncu.edu.cn Xiaotian Hu, Yu Hu
  • 基金资助:
    国家自然科学基金(52222312, 22461142139, 52573277)；江西省自然科学基金

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

Xiaotian Hu1,2, Binhuan Qiu1, Jinglin Le2, Runrui Dai1, Xiaolan Lü2, Yu Hu2,   

  1. 1 School of Ji Luan, Nanchang University, Nanchang 330031, China;
    2 School of Chemistry and Chemical Engineering, Nanchang University, Nanchang 330031, China
  • Received:2025-06-10 Accepted:2025-09-09 Published:2025-12-30
  • Contact: Xiaotian Hu, Yu Hu E-mail:happyhu@ncu.edu.cn;huyu@ncu.edu.cn

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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: 绿色能源, 有机太阳能电池, 人工智能, 光学模拟, 数字孪生

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: Green energy, Organic solar cells, Artificial intelligence, Optical simulation, Digital twin