1. Electrochemistry of highly concentrated electrolytes.

2. NMR simulation and dynamics of electrode.

3. Calculating properties of solid-state electrolytes based on machine learning potentials.

4. Physical chemistry and solvation effect of differently concentrated aqueous electrolyte.

5. Large scale simulation of electrode/polymer electrolyte interfaces.

6. Free energy calculation based on machine learning potentials.