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Deep Learning-Assisted Design of Novel Donor–Acceptor Combinations for Organic Photovoltaic Materials with Enhanced Efficiency

Adv. Mater. 2025, 37, 2407613

Wenlin Zhao^#, Xinyao Xu^#, Haoxiang Lan, Liquan Wang*, Jiaping Lin*, Lei Du, Chongyin Zhang, Xiaohui Tian

Designing Multicomponent Thermosetting Resins through Machine Learning and High-Throughput Screening

Macromolecules 2025, 58, 744–753

Xiangfei Ye#, Zhentao Zhang#, Haoxiang Lan, Chongyin Zhang*, Liquan Wang*, Jiaping Lin*, Xinyao Xu, Yinyi Xu, Lei Du, Xiaohui Tian

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Macromolecules 2025, DOI: 10.1021/acs.macromol.5c00386

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Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm

SmartMat 2025, 6, e1320

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Prediction of microstructural evolution of multicomponent polymers by Physics-Informed neural networks

Computational Materials Science, 2025, 246, 113502