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This Special Issue aims to showcase recent progress using machine learning
approaches to address challenges in organic, inorganic, and hybrid photoelectric
materials. We invite Research Articles, Reviews, and Perspectives. The topics to be
covered include, but are not limited to, the following:

• Development of photoelectric-related material or system database using high
throughput experimental/computational methods;
• Machine learning guided research and development of photoelectric materials;
• Interpretability machine learning modeling of the structure-property relationships
for photoelectric materials;
• Small dataset machine learning predictive modeling of photoelectric materials;
• AI-enhanced self-developed tool/software for photoelectric materials;
• GPT models and applications for photoelectric materials.

II Journal of Materials Informatics