Xiaodong Wen

Xiaodong Wen is a prominent researcher contributing to heterogeneous catalysis, materials science, and computational chemistry. His work spans fundamental studies of surface dynamics in transition metal nanoparticles and applied research in CO₂ reduction, biomedical applications like maslinic acid's role in colon cancer inhibition, and analytical chemistry innovations such as laser-based nanoparticle identification.

• Core Expertise: Catalysis (Fischer-Tropsch, electrochemical CO₂ reduction), surface science, DFT/molecular dynamics simulations
• Recent Trends: Focus on catalyst durability via SiO₂ encapsulation, temperature-driven surface morphology, and machine learning for adsorption prediction

Publications highlight interdisciplinary approaches bridging physical chemistry, environmental engineering, and biomedical applications. Key subfields include quantum nanoreactors for coke analysis, multiband laser color modulation, and Fe-based carbide modeling.