Publications by authors named "Mujian Xu"
Article Synopsis
- The focus of the text is on improving nuclear waste management by efficiently capturing TcO, with ReO used as a nonradioactive alternative in laboratory settings to develop better adsorbents.* -
- Traditional methods for designing adsorbents rely on scientists' intuition and experiments, which are inefficient, while a new machine learning-assisted material genome approach (MGA) is proposed to optimize this process.* -
- The study found that halogen functionalization in two specific pyridine polymers significantly improved their adsorption efficiency for ReO, achieving notable capacities and revealing strong halogen-bonding interactions with TcO, showcasing the potential of machine learning in material design.*
Studies on the Fe(VI)/S(IV) process have focused on improving the efficiency of emerging contaminants (ECs) degradation under alkaline conditions. However, the performance and mechanisms under varying pH levels remain insufficiently investigated. This tudy delved into the efficiency and mechanism of Fe(VI)/S(IV) process using sulfamethoxazole (SMX) and ibuprofen (IBU) as model contaminants.
View Article and Find Full Text PDFThe development of heavy metal adsorbents with high selectivity has become a research hotspot due to the interference of coexisting ions (e.g., Na, Ca) in the actual wastewater, but the more difficult regeneration caused by high adsorption selectivity severely limits its practical applications.
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