Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Nanqi Ren"'
Autor:
Wen-Bo Nie, Guo-Jun Xie, Xin Tan, Jie Ding, Yang Lu, Yi Chen, Chun Yang, Qiang He, Bing-Feng Liu, Defeng Xing, Nanqi Ren
Publikováno v:
Environmental Science & Technology. 57:7029-7040
Autor:
Zijie Xiao, Bowen Yang, Xiaochi Feng, Zhenqin Liao, Hongtao Shi, Weiyu Jiang, Caipeng Wang, Nanqi Ren
Publikováno v:
Environmental Science & Technology. 57:3951-3961
Autor:
Rupeng Wang, Shiyu Zhang, Honglin Chen, Zixiang He, Guoliang Cao, Ke Wang, Fanghua Li, Nanqi Ren, Defeng Xing, Shih-Hsin Ho
Publikováno v:
Environmental Science & Technology. 57:4050-4059
Autor:
Meng-Qi Ding, Shan-Shan Yang, Jie Ding, Zhi-Rong Zhang, Yi-Lin Zhao, Wei Dai, Han-Jun Sun, Lei Zhao, Defeng Xing, Nanqi Ren, Wei-Min Wu
Publikováno v:
Environmental Science & Technology. 57:3031-3041
Publikováno v:
Environmental Science & Technology. 57:1456-1466
Electrochemical oxidation (EO) is a promising technology for water purification, but indirect environmental burdens may arise in association with consumption of materials and energy during electrode preparation and process operation. This study evalu
Publikováno v:
Environmental Science & Technology. 56:11750-11759
Developing advanced heterogeneous catalysts with atomically dispersed active sites is an efficient strategy to boost the kinetics of peroxymonosulfate (PMS) activation for micropollutant removal. Here, we report a binary Mo
Autor:
Bo Shao, Ruochen Zhang, Xijun Xu, Li Niu, Kaili Fan, Zhengda Lin, Lei Zhao, Xu Zhou, Nanqi Ren, Duu-Jong Lee, Chuan Chen
Publikováno v:
Environmental Science & Technology. 56:5960-5972
Publikováno v:
Chinese Chemical Letters. 33:1293-1297
The effects of two solid-based hydrogen peroxides sodium percarbonate (SPC) and calcium peroxide (CP) on waste activated sludge (WAS) disintegration were investigated. Both oxidants achieved efficient WAS disintegration for the synergistic effect of
Publikováno v:
Environmental sciencetechnology.
Machine learning (ML) provides an efficient manner for rapid prediction of the life-cycle environmental impacts of chemicals, but challenges remain due to low prediction accuracy and poor interpretability of the models. To address these issues, we fo
Autor:
Shuo Zhao, Zheyu Li, Denver P. Linklater, Lin Han, Peng Jin, Liping Wen, Chuan Chen, Defeng Xing, Nanqi Ren, Kai Sun, Saulius Juodkazis, Elena P. Ivanova, Lei Jiang
Publikováno v:
Nano Letters. 22:1129-1137