1. Defect evolution in high-entropy materials
2. Predict mechanical properties of high-entropy materials via machine learning
3. Deep-learning interatomic potential
4. High-efficient materials for energy conversion
5. High-efficient materials for hydrogen storage
6. Heterogeneous catalysis