High-throughput computational screening of multicomponent molecular photocatalytic systems offers a strategy to minimize the screening of large numbers of photosensitizer–catalyst combinations. Here a machine learning-accelerated approach using multiple descriptors shows strong predictive power in experimentally validated systems for CO2 reduction.
- Yangguang Hu
- Can Yu
- Yujie Xiong
