Author Affiliations
Abstract
1 Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
2 College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 101804, China
3 School of Physics Science and Technology, Xinjiang University, Urumqi 830046, China
4 School of New Energy and Electronics, Yancheng Teachers University, Yancheng 224002, China
5 Key Laboratory of Optoelectronic Materials and Devices, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
Ex situ characterization techniques in molecular beam epitaxy (MBE) have inherent limitations, such as being prone to sample contamination and unstable surfaces during sample transfer from the MBE chamber. In recent years, the need for improved accuracy and reliability in measurement has driven the increasing adoption of in situ characterization techniques. These techniques, such as reflection high-energy electron diffraction, scanning tunneling microscopy, and X-ray photoelectron spectroscopy, allow direct observation of film growth processes in real time without exposing the sample to air, hence offering insights into the growth mechanisms of epitaxial films with controlled properties. By combining multiple in situ characterization techniques with MBE, researchers can better understand film growth processes, realizing novel materials with customized properties and extensive applications. This review aims to overview the benefits and achievements of in situ characterization techniques in MBE and their applications for material science research. In addition, through further analysis of these techniques regarding their challenges and potential solutions, particularly highlighting the assistance of machine learning to correlate in situ characterization with other material information, we hope to provide a guideline for future efforts in the development of novel monitoring and control schemes for MBE growth processes with improved material properties.
epitaxial growth thin film in situ characterization molecular beam epitaxy (MBE) 
Journal of Semiconductors
2024, 45(3): 031301
作者单位
摘要
中国建筑材料科学研究总院有限公司, 北京 100024
金导体浆料因具有较好的稳定性与可焊性而被广泛应用于低温共烧陶瓷(LTCC)中。金粉的表面形貌、粒径等性质会对金导体浆料产生较大影响。以氯金酸为原料、D-异抗坏血酸为还原剂、阿拉伯树胶为分散剂, 采用不同试验条件制备了纯度较高的三种类球形金粉, 且三种金粉的表面形貌、粒径与比表面积均不同。金粉生长过程属于种子介导的生长方法, 控制Cl-浓度与反应液pH值最终可获得不同形貌与粒径的金粉。研究表明, 三种金粉的比表面积分别为0.740、0.418、0.447 m2·g-1。金粉比表面积显著影响金浆的黏度, 以三种金粉为功能相, 在相同配比下制备LTCC用金导体浆料, 其黏度分别为326、209及214 Pa·s。试验结果表明, 以NaOH溶液溶解氯金酸并调整氯金酸溶液pH值为2, 30%(质量分数)二乙二醇乙醚溶液作还原剂溶剂时制得的金粉为功能相来制备金导体浆料, 烧结后膜层致密度最高、方阻较低以及金丝键合强度最高, 其方阻与金丝键合强度分别为1.11 mΩ/□与866 g, 三种金导体浆料均具有较好的可焊性。
低温共烧陶瓷 金粉形貌 比表面积 金导体浆料 膜层致密度 金丝键合强度 low temperature co-fired ceramics gold powder morphology specific surface area gold conductor paste membrane layer density gold wire bond strength 
硅酸盐通报
2023, 42(11): 4113
作者单位
摘要
北京工业大学材料与制造学部,北京 100124
基于废液晶玻璃原料设计了一种新型耐热硼硅玻璃,针对所制耐热玻璃澄清困难,导致玻璃气泡含量多的问题,借助玻璃配合料高温视像研究方法,研究了CeO2、NaCl、Na2SO4、SnO2四种澄清剂对耐热玻璃澄清质量的影响。实验通过高温视像系统对玻璃液澄清过程进行观测,结果表明:在1 600 ℃熔化温度下,NaCl和Na2SO4作为单一澄清剂的添加量分别为0.50%(质量分数)、0.20%(质量分数)时,达到最佳澄清效果;CeO2、SnO2分别与NaNO3复合作为复合澄清剂的添加量为0.40%(质量分数)CeO2+2.60%(质量分数)NaNO3、0.40%(质量分数)SnO2+2.40%(质量分数)NaNO3时,达到最佳澄清效果;玻璃熔体泡沫开始回落时间分别为22、10、20、28 min;开始回落温度分别为1 110、1 050、1 103、1 143 ℃;在最佳保温时长下,采用0.50%(质量分数)NaCl澄清效果最佳。
废液晶玻璃 新型耐热硼硅玻璃 高温视像 澄清剂 气泡缺陷 气泡排除 waste TFT-LCD glass novel heat-resistant borosilicate glass high temperature video clarifying agent bubble defect bubble elimination 
硅酸盐通报
2023, 42(8): 2928
作者单位
摘要
1 中国科学院上海应用物理研究所 上海 201800
2 中国科学院大学 北京 100049
钍基熔盐堆10 MW固态实验堆设计采用活化法测量反应堆内部中子能谱分布,中子活化样品在堆外装载后通过传输装置将其快速输送到堆内测量位置进行辐照,辐照完后将其输出到能谱样品间进行解谱分析,进而获取堆内能谱分布情况。为实现中子能谱样品快速进出反应堆,设计了一种堆内双层套管中子活化样品气力输送系统,采用Fluent仿真方法研究样品在不同管道间隙下的运动规律。采用气力输送理论对原理样机的流量、两相流压损等工作参数进行设计并对原理样机的结果进行对比验证试验。试验结果表明:样品运动速度、气体流量和压损等测量参数与理论设计值符合较好,设计方法可行,双层套管的结构设计可以实现样品顺畅进出堆芯的功能。
活化法 中子能谱样品 气力输送 双层套管 气固两相流 Activation method Neutron spectroscopy sample Pneumatic conveying Double-casing tube Gas-solid flow 
核技术
2023, 46(2): 020603
Zhihao Zhang 1,2,3Fangbo Zhang 1,2Bo Xu 1,2Hongqiang Xie 1,4[ ... ]Zhizhan Xu 1,*
Author Affiliations
Abstract
1 State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
2 University of Chinese Academy of Sciences, Beijing 100049, China
3 School of Physical Science and Technology, ShanghaiTech University, Shanghai 200031, China
4 School of Science, East China University of Technology, Nanchang 330013, China
Remote or standoff detection of greenhouse gases, air pollutants, and biological agents with innovative ultrafast laser technology attracts growing interests in recent years. Hybrid femtosecond/picosecond coherent Raman spectroscopy is considered as one of the most versatile techniques due to its great advantages in terms of detection sensitivity and chemical specificity. However, the simultaneous requirement for the femtosecond pump and the picosecond probe increases the complexity of optical system. Herein, we demonstrate that air lasing naturally created inside a filament can serve as an ideal light source to probe Raman coherence excited by the femtosecond pump, producing coherent Raman signal with molecular vibrational signatures. The combination of pulse self-compression effect and air lasing action during filamentation improves Raman excitation efficiency and greatly simplifies the experimental setup. The air-lasing-assisted Raman spectroscopy was applied to quantitatively detect greenhouse gases mixed in air, and it was found that the minimum detectable concentrations of CO2 and SF6 can reach 0.1% and 0.03%, respectively. The ingenious designs, especially the optimization of pump-seed delay and the choice of perpendicular polarization, ensure a high detection sensitivity and signal stability. Moreover, it is demonstrated that this method can be used for simultaneously measuring CO2 and SF6 gases and distinguishing 12CO2 and 13CO2. The developed scheme provides a new route for high-sensitivity standoff detection and combustion diagnosis.
Ultrafast Science
2022, 2(1): 9761458
作者单位
摘要
中国建筑材料科学研究总院有限公司, 北京 100024
采用烧结影像法探讨了低温非结晶型封接玻璃特征烧结影像温度与封接温度的对应关系, 对低温非结晶型封接玻璃的特征烧结形态进行了影像-温度实验, 通过对比玻璃特征烧结影像温度与封接温度, 探寻二者间的相互对应关系, 为考核验证低温非结晶型封接玻璃封接温度提供一种规范、便捷的检测方法。实验结果表明, 低温非结晶型封接玻璃特征烧结影像温度与封接温度之间存在高度匹配的对应关系, 通过烧结影像法可以考核验证低温非结晶型封接玻璃的封接温度。
烧结影像 封接温度 低温非结晶型封接玻璃 sintering image sealing temperature low-temperature amorphous sealing glass 
玻璃搪瓷与眼镜
2022, 50(8): 1
作者单位
摘要
中国建筑材料科学研究总院有限公司,北京 100024
PbOCaOB2O3SiO2系玻璃粉体是耐高过载低温共烧陶瓷(LTCC)生瓷带的主要组成部分。玻璃粉体的析晶行为影响烧结性能,进而决定基板的使用性能。本文研究了Al2O3含量对PbOCaOB2O3SiO2系玻璃析晶行为与烧结性能的影响。结果表明:向PbOCaOB2O3SiO2系玻璃中引入Al2O3可抑制玻璃析晶,防止高膨胀晶相的析出,并提高玻璃烧结密度;不含Al2O3的PbOCaOB2O3SiO2玻璃粉体析晶峰温度为862 ℃,烧结过程中析出方石英晶相,20~200 ℃的平均线膨胀系数高达260.8×10-7 ℃-1;引入2.1%(质量分数)Al2O3可显著抑制玻璃析晶,700 ℃烧结后膨胀系数降低至72.9×10-7 ℃-1,介电常数显著增大,由6.30提高至7.02。
PbOCaOB2O3SiO2玻璃 玻璃粉 烧结性能 析晶行为 低温共烧陶瓷 PbOCaOB2O3SiO2 glass glass powder Al2O3 Al2O3 sintering performance crystallization behavior low temperature cofired ceramics 
硅酸盐通报
2022, 41(11): 3997
作者单位
摘要
中国建筑材料科学研究总院有限公司,北京 100024
本文探究了蓖麻油、BYK22552、聚乙烯吡咯烷酮(PVP)、TEGO700四种分散剂对CaOB2O3La2O3玻璃/氧化铝低温共烧陶瓷(LTCC)流延浆料分散性的影响,并进一步对该体系浆料流变性能、触变性能、固相体积分数以及沉降性能方面进行了研究,通过红外光谱分析研究了四种分散剂的分散机理并给出了解释。结果表明,当分散剂TEGO700用量为粉体质量的2%时,流延浆料具有最小黏度(1 650 mPa·s)与最佳触变恢复性。在流延成型最佳黏度2 000 mPa·s下,浆料具有最大固相体积分数(37.2%)与优异的沉降性能。该浆料流延成型得到的柔性生瓷带表面平整且厚度均一,表面粗糙度为144 nm。烧结得到的基板材料表面无气孔、裂纹等明显缺陷,烧结致密化程度高,表面粗糙度为210 nm,40 GHz下测得介电常数与介电损耗分别为6.257和1.431×10-3。
氧化铝 CaOB2O3La2O3玻璃 低温共烧陶瓷 流延浆料 分散剂 流变性能 alumina CaOB2O3La2O3 glass low temperature cofired ceramic casting slurry dispersant rheological property 
硅酸盐通报
2022, 41(11): 3979
Author Affiliations
Abstract
1 Department of Gastroenterology, The First Hospital of Jilin University, Changchun 130021, P. R. China
2 Department of Urology, The First Hospital of Jilin University, Changchun 130021 P. R. China
3 Department of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, P. R. China
Photodynamic therapy (PDT) is a new and rapidly developing treatment modality for clinical cancer therapy. Semiconductor polymer dots (Pdots) doped with photosensitizers have been successfully applied to PDT, and have made progress in the field of tumor therapy. However, the problems of severe photosensitivity and limited tissue penetration depth are needed to be solved during the implementation process of PDT. Here we developed the Pdots doped with photosensitizer molecule Chlorin e6 (Ce6) and photochromic molecule 1,2-bis(2,4-dimethyl-5-phenyl-3-thiophene)-3,3,4,5-hexafluoro-1-cyclopentene (BTE) to construct a photoswitchable nanoplatform for PDT. The Ce6-BTE-doped Pdots were in the green region, and the tissue penetration depth was increased compared with most Pdots in the blue region. The reversible conversion of BTE under different light irradiation was utilized to regulate the photodynamic effect and solve the problem of photosensitivity. The prepared Ce6-BTE-doped Pdots had small size, excellent optical property, efficient ROS generation and good photoswitchable ability. The cellular uptake, cytotoxicity, and photodynamic effect of the Pdots were detected in human colon tumor cells. The experiments in vitro indicated that Ce6-BTE-doped Pdots could exert excellent photodynamic effect in ON state and reduce photosensitivity in OFF state. These results demonstrated that this nanoplatform holds the potential to be used in clinical PDT.Photodynamic therapy (PDT) is a new and rapidly developing treatment modality for clinical cancer therapy. Semiconductor polymer dots (Pdots) doped with photosensitizers have been successfully applied to PDT, and have made progress in the field of tumor therapy. However, the problems of severe photosensitivity and limited tissue penetration depth are needed to be solved during the implementation process of PDT. Here we developed the Pdots doped with photosensitizer molecule Chlorin e6 (Ce6) and photochromic molecule 1,2-bis(2,4-dimethyl-5-phenyl-3-thiophene)-3,3,4,5-hexafluoro-1-cyclopentene (BTE) to construct a photoswitchable nanoplatform for PDT. The Ce6-BTE-doped Pdots were in the green region, and the tissue penetration depth was increased compared with most Pdots in the blue region. The reversible conversion of BTE under different light irradiation was utilized to regulate the photodynamic effect and solve the problem of photosensitivity. The prepared Ce6-BTE-doped Pdots had small size, excellent optical property, efficient ROS generation and good photoswitchable ability. The cellular uptake, cytotoxicity, and photodynamic effect of the Pdots were detected in human colon tumor cells. The experiments in vitro indicated that Ce6-BTE-doped Pdots could exert excellent photodynamic effect in ON state and reduce photosensitivity in OFF state. These results demonstrated that this nanoplatform holds the potential to be used in clinical PDT.
Photodynamic therapy semiconductor polymer dots photosensitizer tumor therapy 
Journal of Innovative Optical Health Sciences
2022, 15(6): 2240007
作者单位
摘要
1 北京市农林科学院信息技术研究中心, 北京 100094
2 西安科技大学测绘科学与技术学院, 陕西 西安 710054
3 广东省农业科学院水稻研究所, 广东 广州 510640
利用高光谱遥感技术在水稻收获前对籽粒品质相关的蛋白质含量进行监测, 一方面可以及时调整栽培管理方式, 指导合理追肥, 另一方面, 有助于提前掌握籽粒品质信息, 明确市场定位。 该研究以广东省典型优质籼稻为研究目标, 基于2019年和2020年两年氮肥梯度实验, 以水稻分化期和抽穗期冠层尺度高光谱数据、 水稻氮素参数, 包括叶片氮素含量(LNC)、 叶片氮素积累量(LNA)、 植株氮素含量(PNC)、 植株氮素积累量(PNA)及籽粒蛋白含量数据为基础, 利用四种个体机器学习算法partial least square regression (PLSR)、 K-nearest neighbor (KNN)、 Bayesian ridge regression (BRR)、 support vector regression (SVR), 三种集成学习算法random forest (RF)、 adaboost、 bagging, 针对水稻不同生育期氮素状况进行监测建模, 在此基础上构建基于水稻冠层光谱信息、 光谱信息结合水稻农学氮素参数的籽粒蛋白含量的监测模型, 并对模型进行精度对比。 研究结果表明, 在水稻氮素营养监测方面, 利用水稻冠层454~950 nm波段信息, 采用RF及Adaboost算法, 在水稻分化期、 抽穗期及全生育期LNC、 LNA、 PNC及PNA模型R2均达到0.90以上, 同时也具有较低的RMSE和MAE。 在水稻籽粒蛋白品质监测方面, 采用全波段光谱信息进行籽粒蛋白含量监测时, RF具有最高的精确度与稳定性, 两生育期的RF模型对籽粒蛋白含量的监测结果R2分别为0.935和0.941, RMSE分别为0.235和0.226, MAE分别为0.189和0.152; 两生育期以全波段光谱信息结合长势参数进行籽粒蛋白监测时, Adaboost模型具有最高的精确度和稳定性, 其中分化期全波段光谱信息结合PNA作为输入参数, Adaboost模型R2为0.960, RMSE为0.175, MAE为0.150, 以抽穗期全波段光谱信息结合PNC作为输入参数, R2为0.963, RMSE为0.170, MAE为0.137。 研究结果表明, 与PLSR, KNN, BRR和SVR几种个体学习器算法相比, 集成算法RF, Adaboost和Bagging具备良好的处理多重共线性的能力, 适合用于高光谱数据的分析与处理, 在作物氮素营养监测及水稻品质的早期遥感监测方面具有明显优势。
高光谱遥感 水稻品质 机器学习 集成算法 Hyperspectral remote sensing Rice grain protein Machine Learning Ensemble algorithms Adaboost Random forest Adaboost Random forest 
光谱学与光谱分析
2022, 42(6): 1956

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!