Pseudo-halide anion engineering is an effective surface passivation strategy for perovskite-based optoelectronics but the large chemical space of molecules limits its potential. Here, the authors create a machine learning workflow to find optimized pseudo-halide anions, which are verified in devices with improved performances.
- Jian Xu
- Hao Chen
- Edward H. Sargent
