排序方式: 共有5条查询结果,搜索用时 15 毫秒
1
1.
Issa Yavari Maryam Sabbaghan Zinatossadat Hossaini Majid Ghazanfarpour‐Darjani 《Helvetica chimica acta》2008,91(6):1144-1147
Triphenyl phosphite reacts smoothly with dialkyl acetylenedicarboxylates and hexachloroacetone to produce alkyl 2‐(dichloromethylene)‐2,5‐dihydro‐5‐oxo‐4‐(trichloromethyl)furan‐3‐carboxylates in good yields. 相似文献
2.
Inverted organic solar cells with solvothermal synthesized vanadium-doped TiO_2 thin films as efficient electron transport layer
下载免费PDF全文
![点击此处可从《中国物理 B》网站下载免费的PDF全文](/ch/ext_images/free.gif)
Mehdi Ahmadi Sajjad Rashidi Dafeh Samaneh Ghazanfarpour Mohammad Khanzadeh 《中国物理 B》2017,26(9):97203-097203
We investigated the effects of using different thicknesses of pure and vanadium-doped thin films of TiO_2 as the electron transport layer in the inverted configuration of organic photovoltaic cells based on poly(3-hexylthiophene) P3HT:[6-6] phenyl-(6) butyric acid methyl ester(PCBM). 1% vanadium-doped TiO_2nanoparticles were synthesized via the solvothermal method. Crystalline structure, morphology, and optical properties of pure and vanadium-doped TiO_2 thin films were studied by different techniques such as x-ray diffraction, scanning electron microscopy, transmittance electron microscopy, and UV–visible transmission spectrum. The doctor blade method which is compatible with roll-2-roll printing was used for deposition of pure and vanadium-doped TiO_2 thin films with thicknesses of 30 nm and 60 nm. The final results revealed that the best thickness of TiO_2 thin films for our fabricated cells was 30 nm. The cell with vanadium-doped TiO_2 thin film showed slightly higher power conversion efficiency and great J_(sc) of 10.7 mA/cm~2 compared with its pure counterpart. In the cells using 60 nm pure and vanadium-doped TiO_2 layers, the cell using the doped layer showed much higher efficiency. It is remarkable that the external quantum efficiency of vanadium-doped TiO_2 thin film was better in all wavelengths. 相似文献
3.
Djamchid Parvizi 《Reports on Mathematical Physics》1975,8(3):401-420
In this paper a quantization procedure of the electromagnetic and the weak gravitational fields, in an indefinite (but non-negative) metric space of states, is presented. We show that the covariance axiom can only be formulated with non-unitary representations (of the Poincaré group) whose restrictions to the one-particle states are indecomposable. In the gravitational case the corresponding indecomposable representation describes six states of helicity for gravitons. The quantized field appears as six interacting massless fields of helicities 2, ?2,1, ?1,0 and 0. These six values of helicity correspond to the six modes of polarization in the most general metric theory of gravity. For the electromagnetic field one obtains an indecomposable representation of the Poincaré group with helicities 1, ?1 and 0 corresponding to transverse and longitudinal photons. 相似文献
4.
Issa Yavari Majid Ghazanfarpour‐Darjani Yazdan Solgi Salomeh Ahmadian 《Helvetica chimica acta》2011,94(4):639-642
An efficient synthesis of functionalized 2‐(1,3‐oxathiolan‐2‐ylidene)malononitriles containing a push‐pull C?C bond via a simple reaction between malononitrile, CS2, and oxiranes in the presence of Et3N is described (Scheme 1). 相似文献
5.
Ifigenia Drosouli Athanasios Voulodimos Georgios Miaoulis Paris Mastorocostas Djamchid Ghazanfarpour 《Entropy (Basel, Switzerland)》2021,23(11)
The advancement of sensing technologies coupled with the rapid progress in big data analysis has ushered in a new era in intelligent transport and smart city applications. In this context, transportation mode detection (TMD) of mobile users is a field that has gained significant traction in recent years. In this paper, we present a deep learning approach for transportation mode detection using multimodal sensor data elicited from user smartphones. The approach is based on long short-term Memory networks and Bayesian optimization of their parameters. We conducted an extensive experimental evaluation of the proposed approach, which attains very high recognition rates, against a multitude of machine learning approaches, including state-of-the-art methods. We also discuss issues regarding feature correlation and the impact of dimensionality reduction. 相似文献
1