祝泽周
发布时间:2023-04-03   浏览次数:215


姓名:祝泽周

职称:实验师

部门:化学与环境工程学院

地址:芜湖市北京中路8号化环学院22201

邮编:241000

Email: zzzhu@ahpu.edu.cn

学术经历:

2021.07-至今, ,化环学院实验中心实验师

 

开设课程:

开设实验课程:《合成化学》《高分子化学实验》有机化学实验》

 

研究方向:

纳米功能材料/电催化水分解、CO2转化

 

获奖情况:

1)化学与环境工程学院2022年教师教学创新大赛三等奖

 

主持项目:

1)能源与环境光催化国家重点实验室开放基金项目金属硫化物分级结构异质界面构筑及光催化CO2还原研究SKLPEE-KF202311),2023.12025.12,主持;

2) 校级重点项目:硫化物基异质材料构筑及光催化产H2O2性能研究(Xjky2022122),2022.62024.5,主持;

3 引进人才科研启动基金:基于界面/位点构筑高效光催化材料(2021YQQ049),2021.112024.10,主持;

 

代表性论文:

1. Zhu, Z.; Li, X.; Qu, Y.; Zhou, F.; Wang, Z.; Wang, W.; Zhao, C.; Wang, H.; Li, L.; Yao*, Y.; Zhang*, Q.; Wu*, Y., A hierarchical heterostructure of CdS QDs confined on 3D ZnIn2S4 with boosted charge transfer for photocatalytic CO2 reduction. Nano Research, 2021, 14(1): 81-90.

2. Zhu, Z.; Qu, Y.; Wang, Z.; Zhou, F.; Zhao, C.; Lin, Y.; Li*, L.; Yao*, Y.; Wu*, Y., 2D PbS nanosheets with zigzag edges for efficient CO2 photoconversion. Chemistry - A European Journal, 2020, 26(60): 13601-13605.

3. Zhu, Z.; Li, C.; E, S.; Xie, L.; Geng, R.; Lin, C.; Li*, L.; Yao*, Y., Enhanced thermal conductivity of polyurethane composites via engineering small/large sizes interconnected boron nitride nanosheets. Composites Science and Technology, 2019, 170, 93-100.

4. Zhu, Z.; Han, Y.; Chen, C.; Ding, Z.; Long, J.; Hou*, Y., Reduced graphene oxide-cadmium sulfide nanorods decorated with silver nanoparticles for efficient photocatalytic reduction carbon dioxide under visible light. ChemCatChem, 2018, 10(7): 1627-1634.

5. Zhu, Z.; Qin, J.; Jiang, M.; Ding, Z.; Hou*, Y., Enhanced selective photocatalytic CO2 reduction into CO over Ag/CdS nanocomposites under visible light. Applied Surface Science, 2017, 391, 572-579.

6. Hou*, Y.; Zhu, Z.; Xu, Y.; Guo, F.; Zhang, J.; Wang, X., Efficient photoelectrochemical hydrogen production over p-Si nanowire arrays coupled with molybdenum-sulfur clusters. International Journal of Hydrogen Energy, 2017, 42(5): 2832-2838.

 

申请发明专利

1. 侯乙东,祝泽周,丁正新,龙金林,一种Ag-RGO-CdS三元纳米复合物的制备和应用. 国家发明专利(专利号:CN 107051546 B.

  



Baidu
map