Developing an intelligent data-driven framework for organic photovoltaic research
IDDF combines LLMs, quantum chemistry, and explainable ML to build a QMSPR model that reveals structure–property relationships in high-performance Y-series acceptors, enabling data-driven OPV design beyond trial-and-error.
Institutions
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- EES solar.
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1039/d5el00160a
- Primary Topic
- Photovoltaic System Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China