Visible luminescence from hydrogenated amorphous silicon modified by femtosecond laser radiation

Visible luminescence is observed from the composite of SiO2 with embedded silicon nanocrystallites produced by femtosecond laser irradiation of hydrogenated amorphous silicon (a-Si:H) film in air. The photoluminescence originates from the defect states at the interface between silicon crystallites and SiO2 matrix. The method could be used for fabrication of luminescent layers to increase energy conversion of a-Si:H solar cells

DNA detection by THz pumping

Our results demonstrate a new method for label-free, real-time oligonucleotide characterisation by their self-resonant modes, which are unique to their conformation and sequence. We anticipate that our assay will be used as a starting point for a more detailed investigation of the aforementioned mechanism, which can be used as a basis for oligonucleotide detection and analysis. Furthermore, this technique can be applied to improve existing modern genetics technologies.Comment: 6 pages, 3 figure

Diabetes mellitus type 1 in childhood

Public organization “Russian Association of Endocrinologists”. Clinical guidlines

Femtosecond laser induced crystallization of hydrogenated amorphous silicon for photovoltaic applications

Femtosecond laser assisted crystallization is used to produce nanocrystalline silicon from hydrogenated amorphous silicon. Changes in structural, optical, electrical and photoelectric properties of laser modified amorphous silicon were investigated. Laser treated films were characterized using atomic force microscopy, Raman spectroscopy, constant photocurrent method and current measurements. Crystalline volume fraction as well as conductivity of laser irradiated films increased with the applied laser fluence, while hydrogen concentration in the films was found to decrease with the fluence. Spectral dependences of absorption coefficient, measured by constant photocurrent method, are discussed in terms of hydrogen out-effusion and additional defect state formation in silicon films during the laser treatment

Visible luminescence from hydrogenated amorphous silicon modified by femtosecond laser radiation

Visible luminescence is observed from the composite of SiO2 with embedded silicon nanocrystallites produced by femtosecond laser irradiation of hydrogenated amorphous silicon (a-Si:H) film in air. The photoluminescence originates from the defect states at the interface between silicon crystallites and SiO2 matrix. The method could be used for fabrication of luminescent layers to increase energy conversion of a-Si:H solar cells

Structural and electrophysical properties of femtosecond laser exposed hydrogenated amorphous silicon films

This paper studies the effect of femtosecond laser treatment in air of hydrogenated amorphous silicon thin films (a-Si:H) on their structural, electrical and photoelectric properties. The possibility of laser-induced crystallization of a-Si:H films with controlled crystalline volume fraction was shown. A sufficient increase of dark conductivity was observed for laser treated a-Si:H films which crystallinity exceeds 7%. Such increase was attributed to change in conductivity mechanism. However, spectral dependences of absorption coefficient did not show any qualitative changes with the laser fluence increase. It was found that spallation and oxidation of the film took place when laser fluence became reasonably high

Atmospheric Oxidation of a Gold-Copper Float Concentrate

Представлены результаты исследований по атмосферному окислению золотомедного флотоконцентрата при различной крупности, продолжительности окисления, продувки кислородом и воздухом. Показано, что атмосферное окисление флотоконцентрата повышает извлечение золота и меди и снижает расходы реагентов при последующем цианированииThe article presents the results of atmospheric oxidation of a gold-copper float concentrate with different size particles, oxidation time, oxygen and air blow. It was shown that atmospheric oxidation of a concentrate increases gold and copper recovery, reduces reagent consumption in subsequent cyanidatio

Atmospheric Oxidation of a Gold-Copper Float Concentrate

Представлены результаты исследований по атмосферному окислению золотомедного флотоконцентрата при различной крупности, продолжительности окисления, продувки кислородом и воздухом. Показано, что атмосферное окисление флотоконцентрата повышает извлечение золота и меди и снижает расходы реагентов при последующем цианированииThe article presents the results of atmospheric oxidation of a gold-copper float concentrate with different size particles, oxidation time, oxygen and air blow. It was shown that atmospheric oxidation of a concentrate increases gold and copper recovery, reduces reagent consumption in subsequent cyanidatio

Convolutional Neural Network Based on Crossbar Arrays of (Co-Fe-B)<i>_x</i>(LiNbO₃)_{100−<i>x</i>} Nanocomposite Memristors

Convolutional neural networks (CNNs) have been widely used in image recognition and processing tasks. Memristor-based CNNs accumulate the advantages of emerging memristive devices, such as nanometer critical dimensions, low power consumption, and functional similarity to biological synapses. Most studies on memristor-based CNNs use either software models of memristors for simulation analysis or full hardware CNN realization. Here, we propose a hybrid CNN, consisting of a hardware fixed pre-trained and explainable feature extractor and a trainable software classifier. The hardware part was realized on passive crossbar arrays of memristors based on nanocomposite (Co-Fe-B)x(LiNbO3)100−x structures. The constructed 2-kernel CNN was able to classify the binarized Fashion-MNIST dataset with ~ 84% accuracy. The performance of the hybrid CNN is comparable to the other reported memristor-based systems, while the number of trainable parameters for the hybrid CNN is substantially lower. Moreover, the hybrid CNN is robust to the variations in the memristive characteristics: dispersion of 20% leads to only a 3% accuracy decrease. The obtained results pave the way for the efficient and reliable realization of neural networks based on partially unreliable analog elements