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Journal of Materials Informatics

C O NT E NT S

Topic: Advances in Machine Learning for Photoelectric Materials Research and Applications

1 Transformative strategies in photocatalyst design: merging computational methods and deep learning
Jianqiao Liu, Liqian Liang, Boru Su, Di Wu, Yuequ Zhang, Jianzhao Wu, Ce Fu
J. Mater. Inf. 2024, 4, 33 http://dx.doi.org/10.20517/jmi.2024.48

2 Machine learning enhanced characterization and optimization of photonic cured MAPbI for efficient
3
perovskite solar cells
Cody R. Allen, Bishal Bhandari, Weijie Xu, Mark Lee, Julia W. P. Hsu
J. Mater. Inf. 2024, 4, 35 http://dx.doi.org/10.20517/jmi.2024.72

3 Accelerated discovery of high-performance small-molecule hole transport materials via molecular splicing,
high-throughput screening, and machine learning
Jiansen Wen, Shuwen Yang, Linqin Jiang, Yudong Shi, Zhihan Huang, Ping Li, Hao Xiong, Ze Yu, Xushan Zhao,
Bo Xu, Bo Wu, Baisheng Sa, Yu Qiu
J. Mater. Inf. 2025, 5, 30 http://dx.doi.org/10.20517/jmi.2024.102

4 Machine learning-enabled optoelectronic material discovery: a comprehensive review
Yu Shu, Naihua Miao, Rize Li, Yucheng Lin, Siyu Han, Jian Zhou, Zhimei Sun
J. Mater. Inf. 2025, 5, 36 http://dx.doi.org/10.20517/jmi.2025.13

5 Stacked machine learning for accurate and interpretable prediction of MXenes’ work function
Lijun Shang, Yongli Yang, Yadong Yu, Pan Xiang, Li Ma, Zhonglu Guo, Mengyan Dai
J. Mater. Inf. 2025, 5, 52 http://dx.doi.org/10.20517/jmi.2025.36

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Journal of Materials Informatics