Haoyang Fu

Research Interests

• Data-driven construction of knowledge graphs for environmental catalysis

  We focus on constructing data-driven knowledge graphs for environmental catalysis, integrating principles from data science, catalysis, and earth sciences. By systematically mapping complex relationships within catalytic and environmental data, the aim is to accelerate the rational design of high-performance, eco-friendly catalysts. Ultimately, we seek to provide innovative solutions for tackling pressing environmental challenges and advancing global sustainability.

  

• Structural engineering of nanomaterials for catalytic upvaluing of emerging pollutants

  The primary research effort involves constructing advanced functional materials by meticulously tuning their size, morphology, crystal phase, and defect sites to create specific catalytic active sites and optimized reaction microenvironments. These engineered nanomaterials are developed to efficiently catalyze the transformation of emerging pollutants by either upvaluing them or degrading them into less toxic or benign substances, thereby addressing critical challenges in environmental pollution.

  

• Investigation of particle growth mechanisms and shape anisotropy using Cs-TEM and liquid-cell TEM

  Utilizing state-of-the-art transmission electron microscopy techniques, including Cs-corrected TEM and in-situ liquid-cell TEM, we aim to elucidate the growth mechanisms of nanoparticles and the key factors controlling their shape anisotropy, thereby providing an experimental basis and theoretical guidance for the precise synthesis and performance regulation of functional nanomaterials.