Search results

The grain structure of the alloy is anisotropic grains, the average transverse size of which is 2.3 μm.
Nanocrystalline structures formed under conditions of ion implantation contribute not only to the modification of mechanical properties, but also have a significant effect on corrosion characteristics [20].
The results obtained confirm the conclusions made above about the highest corrosion resistance of the implanted samples of VT6 alloy with a fine-grained structure.
Utyashev, Superplasticity, structure refinement and treatment of hard-deformable alloys, Nauka.
Korzhova, Physics and chemistry of material processing. 1(2011) 36-44

Surface topography of microorganism films were observed by using atomic force microscopy (AFM) and Scanning Electron Microscope (SEM), The result showed that number of SRB were a little, so that microorganism films can't form in the surface of CAM; Microscopic structure was analyzed in the process corrosion, with increase of exposure time, selective corrosion occurred mainly on containing Al at a high level of β-phase and κ-phase.
That is, Beta and Kappa deals with Alpha compares, has the obvious first corrosion tendency, this is mainly because their aluminiferous quantity is higher than Alpha, has caused chemistry nonuniformity, thus formed the microcell, the anode first encounters the corrosion, although Beta is opposite in the corrosion tendency which Kappa occurs is small, but it was opposite in Alpha extremely was still easy to occur first corrodes [9].

The structure of the lignin molecule consists of an aromatic system also phenolic compounds which are composed by propane phenyl units.
Lignin is a non-toxic polymer and has many types of structures [1].
As a result, this structure leads to an increase of the hydrophilic nature of SLS and thus easily dissolved in water.
Hence, it could be inferred that there was the insertion of the SO3 functional group into the lignin structure.
Martín-Martínez, Lignin and Lignans as Renewable Raw Materials: Chemistry, Technology and Applications, John Wiley & Sons, Ltd, United Kingdom, 2015

The structure of raw coals and chars was identified by FTIR.
In additional, the influences of char structure and catalyst on the CH4 yield are discussed in the paper.
It illustrates that there are plenty of free aromatic ring structure and carbonyl groups.
When H+ was detached from aliphatic hydrocarbon side, the remained side from originally negatively charged polycyclic aromatic hydrocarbon structure and then weakened the bond energy between Side-chain and aromatic hydrocarbon structure.
Journal of fuel chemistry and technology.

Charge Transport Layer Doping Influence on Perovskite CH3NH3PbI3-xClx Solar Cell Performance Anastasija Ivanova1,a*, Kristina Lebedeva1,b, Andrey Tokmakov2,c, Modris Roze3,d and Igors Kaulachs1,e 1Institute of Physical Energetics, Krivu 11, Riga, LV-1006, Latvia 2LU Institute of Solid State Physics, Kengaraga 8, Riga, LV-1063, Latvia 3Riga Technical University, P.Valdena 3/7, Riga, LV-1048, Latvia aanastasija.ivanova@edi.lv, bkristina.lebedeva@edi.lv, candrey.tokmakov@gmail.com, dmodris.roze@rtu.lv, ekaulacs@edi.lv Keywords: inverted structure, mixed halide cells, perovskite solar cells, photovoltaics, planar heterojunction Abstract.
Among various device structures used in the study of PSCs, planar heterojunction devices (regular n-i-p and inverted p-i-n) has drawn much attention due to their low processing temperature, potential for flexible devices and negligible hysteresis effects [13].
Materials and Methods Solar cells were fabricated with the following structures ITO/PEDOT:PSS/CH3NH3 PbI3-xClx/PCBM/C60/Ag (cell N1) and ITO/PEDOT:PSS/CH3NH3PbI3-xClx/PCBM:DMOAP/Ag (cell N2).
Kamat, “How Lead Halide Complex Chemistry Dictates the Composition of Mixed Halide Perovskites,” J.
Yang, “Recent Advances in the Inverted Planar Structure of Perovskite Solar Cells,” Acc.

The antisite defects of the structure are the main responsible traps in the persistent luminescence mechanism.
ZnGa2O4 crystallizes in the normal spinel structure (space group Oh7 (Fd3m)) with Zn2+ ions occupying tetrahedral sites and Ga3+ ions occupying octahedral sites.
Tanabe, Journal of Materials Chemistry C, 1 47, 7849-7855 (2013)
Priolkar Journal of Physics and Chemistry of Solids 75 (2014) 826–837 (2014)

The structure and properties of the resultant organo-Mt were characterized in terms of silane loading and basal spacing of interlayer expansion.
In comparison with PTES, APTES can increase the interlayer structure of montmorillonite more effectively and obviously.
Morphology and Structure of Amino Fatty Acid Intercalated Montmorillonite. 2018
[14] Tao, E., et al., Nano-montmorillonite-based porous material prepared by gel casting: structure and adsorption properties.
Journal of Medicinal Chemistry, 2013. 56(7): p. 2948-2958

Narayanankutty1,c* 1Department of Polymer Science and Rubber Technology, Cochin University of Science and Technology, Cochin 682022, India 2Department of Chemistry, M.E.S.
The peaks at 1290 cm−1 and 1402 cm−1 are ascribed to the protonation of imine nitrogen atoms of quinoid rings and C-N stretching of the secondary aromatic amine [21, 25].The vibrational peaks due to the C= C ring stretching vibration of benzoid and quinoid structures could be found at 1483 cm−1 and 1615 cm−1, respectively [26-28].
Silica gel shows a flake-like morphology and PANI shows the short granular structure in the SEM images.
Olajire Recent advances on organic coating system technologies for corrosion protection of offshore metallic structures, Journal of Molecular Liquids 269 572–606(2018) [11] Wei Y, Wang J, Jia X, Yeh J-M and Spellane P, Polymer 36: 4535 (1995) [12] M.
[17] Yufeng Li, Jiyu Li, XiaohuiGao, Shi Qi, Jie Ma, Jingjing Zhu Synthesis of stabilized dispersion covalently-jointed SiO2@polyaniline with core-shell structure and anti-corrosion performance of its hydrophobic coating for Mg-Li alloy Applied Surface Science 462 362-372 (2018) [18] Silica–polyaniline hybrid materials prepared by inverse emulsion polymerization for epoxy-based anticorrosive coating Camila M.

BP algorithm is a typical artificial neural network learning algorithm, the main structure consists of an input layer, one or more hidden layer, an output layer, the layers of the number of neurons, the output of each node the value is decided by the input values​{TTP}8203 ​{TTP}8203 , the role, function and threshold.
Structure and working methods of the artificial neural network according to the neurons in different connections, the neural network are divided into two categories: hierarchical network and interconnected networks layered network all the neurons in a neural network model in accordance with the functions into several layers.
The Internet of Things refers to the sensing devices through a variety of information, such as sensors, radio frequency identification (RFID) technology, global positioning systems, infrared sensors, laser scanners, gas sensors and other devices and techniques, real-time acquisition of any need to monitor, combine to form a vast network of connections, interactive objects or processes, collecting their sound, light, heat, electricity, mechanics, chemistry, biology, location information of a variety of needs, and the Internet [2].
In the hidden layer structure of the research network, compiled using Matlab neural network patch contrast single and double hidden layer structure repair results to determine the repair hidden layers BP neural network; research network training algorithm, the use of visualization the Visual Basic application development tools, the preparation of the application, the large number of experiments to determine the hidden layer nodes, and reasonable network training algorithm is designed to improve the training speed of the network, reducing the network training into local, as is shown by equation3
In this study, the BP network structure is a layer 2 network with 20-10-1 structure build in matlab7.0.The named bp network, select the type of network Feed-forward backdrop input data range is determined according to the input data in the training sample, the training function to select TRAINLM, adaptive learning function select LEARNGDM, the effect of a function to select the MSE, the number of layers, the first layer10 neurons, the transfer function TANSIG second layer neuron number is 1, the transfer function for the TANSIG.

The slurry body of asphalt emulsion A and B components form three-dimensional IPN structure reacting with the active chemical functional groups.
Maybe ,it is main reason that EACM network gel structure in EACM can reinforce fiber.
EACM 3000 times magnification of the ESEM can clearly see the gel network structure of epoxy asphalt (dark part).
It may be the gel network structure of epoxy asphalt have bonding[19,20]and wrapping effect to the cementitious materials.
The slurry body of asphalt emulsion A and B components form three-dimensional IPN structure reacting.