Although PrF3 can be regarded as a potential infrared low-index evaporation material used in infrared antireflection to substitute for radioactive ThF4 because its thin films have a good transparency, the lower refrac...
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Although PrF3 can be regarded as a potential infrared low-index evaporation material used in infrared antireflection to substitute for radioactive ThF4 because its thin films have a good transparency, the lower refractive index n and extinction coefficient k in the spectral range of thermal infrared, the greater tensile stress emerging in its layers will deteriorate the reliability and durability of antireflection coatings. In our investigation, BaF2-PrF3 thin films were deposited using electron beam evaporation from the sintered pellets of PrF3 admixed with BaF2. Stress in thin films was calculated from Stoney's equation on the basis of measuring the changes of radius of curvature of thin silicon strips. The stoichiometry of thin films was determined using the energy dispersive X-ray analysis (EDX). The optical constants of thin films were determined by fitting the measured spectral transmittance curves using Lorentz oscillators as a dispersion model. It can be observed that stress in BaF2-PrF3 thin films is obviously reduced with the increasing of the concentration of BaF2 in thin films and the sintered pellets. Moreover, it was also demonstrated that incorporation of BaF2 into PrF3 can reduce the refractive index of thin films, although BaF2-PrF3 thin films have a greater dispersion than that of PrF3 thin films. In addition, the lower value of extinction coefficient is also presented in thin films, like those of rare-earth fluorides.
The world’s first 1.3 GHz cryomodule containing eight 9-cell superconducting radio-frequency (rf) cavities treated by medium-temperature furnace baking (mid-T bake) was developed at the Institute of High Energy Physi...
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The world’s first 1.3 GHz cryomodule containing eight 9-cell superconducting radio-frequency (rf) cavities treated by medium-temperature furnace baking (mid-T bake) was developed at the Institute of High Energy Physics, Chinese Academy of Sciences. The 9-cell cavities in the cryomodule achieved an unprecedented high average intrinsic quality factor (Q0) of 3.8×1010 at 16 MV/m and 3.6×1010 at 21 MV/m in the horizontal test. The cryomodule can operate stably up to a total continuous wave rf voltage greater than 193 MV, with an average cavity usable accelerating gradient of more than 23 MV/m. The results significantly exceed the specifications of Circular Electron Positron Collider and Dalian advanced light source and the other high repetition rate free electron laser facilities [linac Coherent light Source II (LCLS-II), LCLS-II-high energy, Shanghai High Repetition Rate X-ray FEL and Extreme light Facility, Shenzhen Superconducting Soft X-Ray Free Electron Laser, etc.]. There is evidence that the mid-T bake cavity may not require fast cooldown or long processing time in the cryomodule. This paper reviews the cryomodule performance and discusses some important issues in cryomodule assembly and testing.
The hard turning process has been widely used in the field of hard material precision machining because of its high efficiency, low processing residual stress, and low environmental pollution. Due to its undesirably p...
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The hard turning process has been widely used in the field of hard material precision machining because of its high efficiency, low processing residual stress, and low environmental pollution. Due to its undesirably processing quality, it is still not a substitute for traditional grinding, so many studies have reported that the process has been optimized. However, there has been little research on the geometry optimization of hard cutting tools, which have a great influence on the traditional machining process. In this paper, two tools with different rake face shapes are designed. The finite element analysis method is used to compare their performance with a conventional plane tool while turning hardened steel. The results show that the cutting performance of the designed tool T1 and T2 (chip morphology, cutting force, and cutting temperature) and the quality of the machined surface are improved compared with the tool. The cutting force decreased by 12.72% and 14.74%, the cutting temperature decreased by 7.56% and 9.01%, respectively, and the surface residual stress decreased by 26.56% and 28.66%.
Panax notoginseng (P. notoginseng) is frequently targeted for adulteration with lower-grade P. notoginseng because of its high price. This paper presents a novel method to improve the identification ability of adulter...
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Panax notoginseng (P. notoginseng) is frequently targeted for adulteration with lower-grade P. notoginseng because of its high price. This paper presents a novel method to improve the identification ability of adulterants using spectroscopic techniques and chemometrics. P. notoginseng powder of different grades were blended at different percentages (0-100%), in which the minimum blend ratio was 0.5%. NIR (12,497-4000 cm(-1)) and FT-MIR (4000-400 cm(-1)) spectra of samples were acquired. The wavenumbers of 7099-4200 cm(-1), 3600-2750 cm(-1), and 1750-400 cm(-1) were selected manually as characteristic spectra, which included 3706 variables. Then principal component analysis (PCA) was used to further reduce the data dimension of characteristic spectra, and the first nine principal components (PCs) were applied to build classification models of 14 (the ratio of 0.5% excluded) and 15 kinds of blend ratios. Finally, Support vector machine (SVM) was built for classification of adulterants of different blend ratio. The accuracy of prediction set is 92.46% and 91.79%, respectively. On this basis, particle swarm optimization (PSO) was applied to optimize the parameters of SVM, and the accuracy of prediction set increased to 96.65% and 96.97%, respectively. The results demonstrate that the application of data fusion of NIR and FT-MIR spectra combined with SVM optimized by PSO can improve the identification ability of adulterants in powdered P. notoginseng.
In this study, graphene-encapsulated silica was synthesized by a hydrothermal reduction strategy. The presence of silica in graphene was identified by Fourier-transform infrared spectrometry, X-ray diffraction and sca...
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In this study, graphene-encapsulated silica was synthesized by a hydrothermal reduction strategy. The presence of silica in graphene was identified by Fourier-transform infrared spectrometry, X-ray diffraction and scanning electron microscopy. The graphene-encapsulated silica subsequently was used as adsorbent for matrix solid-phase dispersion extraction of poly-methoxylated flavonoids from the dried leaves of Murraya panaculata (L.) Jack. Compared with the other adsorbents (graphene, silica gel, C-18 silica, neutral alumina, diatomaceous earth) and without any adsorbents, better results were obtained. Then a method for analysis of poly-methoxylated flavonoids was established by coupling matrix solid-phase dispersion extraction with ultra high performance liquid chromatography and UV detection. Compared with reflux extraction and ultrasonic extraction, the proposed method is quicker, more efficient and more environmental protection. Less than 10 min is needed from extraction to detection.
This paper presents the participation of the Image Semantics group (ImageSem) of the Institute of Medical Information at the ImageCLEF 2018 caption task. We participated in both of the concept detection and the captio...
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This paper presents the participation of the Image Semantics group (ImageSem) of the Institute of Medical Information at the ImageCLEF 2018 caption task. We participated in both of the concept detection and the caption prediction tasks, with submitting 15 runs in total. In this study, we applied liRE, an open source Lucene Image Retrieval, to index 222, 314 images in training and 9, 938 images in test sets. In concept detection subtask, we retrieved the similar images in the training set and applied Latent Dirichlet Allocation (LDA) for clustering concepts of the similar images. The transfer learning method was integrated to solve muti-label annotation in the concept detection task. In caption prediction, we used image retrieval strategies by tuning the parameters: the top similar images and number of candidate concepts. In the evaluation, ImageSem achieved the best Fl Score of 0.0928 in the concept detection subtask and the Mean BLEU score of 0.2501 in the caption prediction subtask.
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