Finding the process parameters in molecular beam epitaxy for a specific density of quantum dots is a multidimensional optimization challenge. Here, the authors demonstrate real-time feedback controlled self-assembled InAs/GaAs QDs growth based on machine learning (ML) outputs.
- Chao Shen
- Wenkang Zhan
- Zhanguo Wang
