Zhiwen Yang

Zhiwen Yang

I have a wide range of research interests, including machine learning, deep learning and their application to computational biology, with a focus on developing tools to solve real world problems.

Microplastic Transport and Ecological Impacts in the Yangtze River Estuary: A Coupled Modeling Approach

Published:

Under the supervision of Prof. Lai Zhang, this project combines computational modeling and ecological theory to study pollution dynamics.

Key contributions include:

  • Used Matlab to construct complex unstructured grids, which consisted of 17,656 nodes and 99,948 connection information.
  • Developed an advection-diffusion coupling algorithm to simulate PDE equations, demonstrating the dynamic migration patterns of microplastics in the marine environment.
  • Improved the Logistic model and the Lotka-Volterra model, accurately depicting the dynamic changes in the population sizes of predator and prey fish schools.

Recommended citation: Yang, Z., Zhang, L. (2025). Coupled Modeling Reveals Spatiotemporal Microplastic Dynamics and Ecological Stress in the Yangtze River Estuary.; Manuscript in preparation.