Zihao Wang

Zihao Wang is a Researcher (Hong Shen Junior Faculty) at the School of Chemistry and Chemical Engineering, Chongqing University, China. He holds a doctoral degree in Process Systems Engineering from the Max Planck Institute for Dynamics of Complex Technical Systems (2025), and earned his Bachelor’s and Master’s degrees in Chemical Engineering and Technology from Chongqing University.

His research focuses on data-driven multiscale modeling, optimization of chemical processes, and the design of porous materials for energy-efficient gas separation. He also pioneers AI4Science applications, integrating machine learning with molecular design and process simulation. Key technical skills include mathematical modeling, machine learning, molecular simulation, and cheminformatics.

Recent work emphasizes machine learning-driven discovery of materials (e.g., metal-organic frameworks, ionic liquids) and solvent design for separation systems. His methodologies blend ensemble learning, neural networks, and high-throughput computational screening to accelerate scientific discovery.

No scientific awards or grants are explicitly mentioned in the provided text. He has advised no listed students and no specific lab affiliations are detailed.