Heyang Yuan

This study evaluates how alternating polarity frequency affects the assembly of electro-methanogenic microbial communities, finding that 4-day alternation yields the best performance.

The paper develops a modeling approach integrating microbial growth kinetics and population dynamics to predict microbial community behavior in activated sludge systems.

This study compares anaerobic-oxic and IFAS systems for treating livestock digestate, finding IFAS achieves higher organic removal and promotes oxidative fragmentation of organic matter.

This study uses Raman spectroscopy and data-driven models to classify fungal conidia at the species level, achieving high precision with XGBoost.

This paper develops an alternating polarity strategy to cultivate electro-methanogenic microbial communities, resulting in higher biogas production and structurally distinct communities.