Synopsis of recent research by authors named "Zhijun Ren"
- Zhijun Ren's research primarily focuses on enhancing anaerobic digestion (AD) processes and wastewater treatment through innovative materials, such as co-doped biochars, which improve microbial interaction and electron transfer efficiency, significantly increasing treatment performance.
- He employs machine learning for the optimization of industrial sludge treatment methods, demonstrating the efficacy of various algorithms, and has also examined the application of external stimuli, such as magnetic fields, to improve membrane bioreactor efficiency and mitigate fouling.
- Ren's work extends into the exploration of algal-bacterial symbiosis systems for sustainable wastewater treatment, emphasizing mechanisms for pollutant removal and proposing novel integrated processes to enhance treatment effectiveness, while also addressing the carbon footprint of wastewater treatment technologies.
