摘要：采用溶胶凝胶法合成LaFeO_(3)纳米颗粒,并通过光还原将Ag纳米颗粒沉积在LaFeO_(3)表面。利用X射线衍射分析对LaFeO_(3)、Ag/LaFeO_(3)纳米颗粒的成分和晶体结构进行分析;利用扫描电子显微镜对复合材料的形貌进行分析,并通过能谱分析对复合材料的元素组成及分布进行表征。以亚甲基蓝(MB)模拟有机物污染废水,测得LaFeO_(3)对MB的光催化降解率在90 min时可达到55.13%,Ag/LaFeO_(3)对MB的光催化降解率在90 min时可达到94.21%。研究结果表明:Ag纳米粒子的加入大大提高了催化剂的光催化性能,同时为水污染治理光催化剂的设计提供了一种可供选择的新方法。

摘要：采用直流磁控溅射方法,保持Ar气流量不变,控制O2气在Ar气与O2气混合气体在Ar/O2=30sccm/90sccm的情况下,采用STO(100)单晶基片制备了FNO薄膜。利用XRD和VSM等测试手段,对STO(100)单晶基片生长的不同基片温度FNO薄膜的结构及磁学性能进行表征。测试结果表明,在STO(100)单晶基片上不同基片温度得到了NiFe2O4薄膜,随着基片的温度增大,样品的矫顽力Hc先增大后减小,基片温度为650摄氏度时,矫顽力最大,Hc=1244.7 Oe。

摘要：Transient electromagnetic method (TEM),as a non-seismic geophysical exploration mainstream electromagnetic method,is widely used in oil,gas,mineral and other underground resources exploration areas. The coil sensor is generally used to collect data. In view of the problems of incomplete information of the abnormal body and the data loss in the existing TEM single-component coil sensor,a three-component TEM coil sensor is designed. By analyzing the relationship between sensor sensitivity and coil structure parameters,the coil structure and turns are designed. By analyzing the frequency response characteristics of the TEM magnetic field sensor,the signal distortion is reduced by using the under-damped matching mode. By analyzing the distribution of various noise sources of the magnetic sensor,the appropriate amplifier is selected to reduce the background noise. Finally,a three-component TEM induction magnetic field sensor is designed. The weight of the sensor is controlled at 3.2 kg and the working frequency is 10 mHz-10 kHz. The background noises of X and Y components probably keep in 1.5×10^-8 V/ Hz and sensitivities are 8.4 and 9.8 nT/s,respectively,the background noise of vertical component is 2.1× 10^-7 V/ Hz and sensitivity is 18.5 nT/s. Compared with the existing single-component TEM receiving magnetic field sensor,the designed sensor realizes the signal acquisition of three components. Without too much increase in volume and total weight,it improves the sensitivity of the sensor and reduces the background noise,thus the signal-to-noise ratio (SNR) of the signal is improved.