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Among machine learning algorithms, support vector regression (SVR) is one of the robust models that can observe quantitative and numbering to form predictions.
The total numbers of band gap energy for ZnO are 130 and the relevant ranging of dataset obtained covers from 2.020 eV to 5.330eV.
The dataset consists of lattice parameters a, and c, crystallite size, and grain size that were segmented into training and testing dataset with ratio of 8:2.
,xn,yn⊂X×R, where xi is the input feature of either lattice parameters a, and c, crystallite size, or grain size, and associated yi is the Eg, X is the space of the input patterns, and R is a real number.
From observation, when a high number of training dataset was trained, the better the prediction obtained.

The experimental steels mainly contain copper particles,also there are few precipitates of AlN.Because the number of AlN precipitates is less,they don’t be discussed.The calculation formulas of solubility of copper in α-Fe and γ-Fe are as follows[7].
Fig.4 TEM image of precipitations High coiling temperature and long coiling time ,the second phase particle will take Ostwald,the grains of hot-bands are large.Only the second phase particles are large enough,the area can form high dense dislocation and high misorientation where near the second phase particles ,thus it can add the formation of recrystallization texture nuclei .The coarse grains of hot-bands can increase the preferential texture formation .Because the{110}grains are nucleated within shear bands in cold deformed {111}<112>grains.{111}grains are nucleated at deformed {111}<112>grain boundaries.if the hot-bands grains are large before cold rolling,the density of the shear bands is the highest and the grain boundaries are decreased.That can improve the {110}texture and prohibit the {111}texture.

(a) Grain size distributions obtained from the SEM image of Fig. 1(a); (b) the grain size and the density of the Si-NPs deposited at 520℃ Figure 3(a) shows the grain size distribution obtained from the SEM image of Fig. 1(a).
The grain size distributions of other three cases in Fig. 1 are also analyzed by using histogram (not shown here).
The time dependence of the grain size and the density of the Si-NPs are shown in Fig. 3(b).
We obtained Si-NPs with grain sizes of ranging from 20 nm to 50 nm and with density of 2.8×1011/cm2 and 1.0×1011/cm2 accordingly.
Well organized Si-NPs with a high number density can be applied in the substrates for solar cell devices to enhance the sunlight absorption.

Introduction Mercuric iodide (HgI2), an excellent photoconductor material, has been regarded as a leading material for nuclear radiation detectors working at room temperature, because of its high theory resistivity (1013Ω·cm), high atomic numbers (Hg=80, I=53), wide energy band gap (Eg=2.13eV), big absorption cross section and low electron-hole pair creation energy of 4.2 eV at room temperature[1-3].
The influence of growth times on the morphology, grain size, degree of crystallinity, texture, and resistivity of the polycrystalline α-HgI2 films is discussed.
From the Fig.1 (a) the sizes of the α-HgI2 growth by 1 hour grains about 70～80μm and the surface not smoother.
And Fig.1 (b) the sizes of the α-HgI2 growth by 2 hours grains about 50～60μm and the surface smoother better than (a).
Each polycrystalline α-HgI2 film sample grain integrity of structure, the defect rate is small, smoother surface, has been able to clearly observe all the small grains, which again proving the sample c of best surface morphology.

With regard to the LaPO4-ZrO2 composites, Marshall et al. [6] prepared a number of multilayered composites with La-monazite and various ZrO2 based materials.
In Fig. 2(a), some grains about 4µm in size can be seen, which hardly can be found in Fig.2 (b).
And the grain size of zirconia in Fig.2 (b) was more uniform that in Fig.2 (a).
It suggested that the addition of layered LaPO4 will result in the suppression of grain growth of ZrO2.
In Fig.2 (b), some LaPO4 grains with many grooves on them and the intact zirconia grains exist on the fracture simultaneously.

However, EBSD analyses of naturally deformed rocks have shown that the misorientation relationship observed between parent and recrystallized grains cannot be explained by the mechanisms of sub-grain rotation and grain boundary migration recrystallization alone (e.g. [1, 2]).
These surfaces were polished with diamond paste down to 0.25 µm grain size.
Only a very limited number of sub-grain boundaries, separating areas of misorientation between 1° and 5° (grey lines), are present.
Incipient sub-grains can also be seen.
The appearance of progressively higher angle sub-grain walls with further deformation and the development of sub-grains with a continuum of misorientations [1] (see ps3), suggest that, at the experimental conditions investigated, sub-grain rotation recrystallization is the main recovery mechanism.

From the XRD spectra the dislocation density, average crystallite size, number of unit cells, and porosity were calculated and analyzed .
Characterization The phase identification and grain distribution of the sintered samples were identified using X-ray Diffractometer (XRD) (Philips: PW1830), at University of Hyderabad, A.P.
From the X-Ray diffraction studies, dislocation density, number of unit cells and porosity were evaluated.
Cisowski ,The relationship between the magnetic properties internal structure of their component Fe-oxide grains”, Geophys.
Rath.Emission of Dislocations from Grain Boundaries and Its Role in Nanomaterials, Crystals 11, 1(2021) 41. https://doi.org/10.3390/cryst11010041 [21] Indrakanti, Rajani & Rao, V & Chavan, Udaya. (2017).

The US, France and Japan lead the world in either the number of nuclear reactor units or the total installed capacity.
Meanwhile, the number of the edges and the taper of the heavy ingot should also be increased with the increasing tonnage.
For example, the number of the edges of the heavy ingot has been developed from 8 gradually to 16, 24, 36, and 48.
The effects of heating and cooling condition on the structure inheritance should be accurately grasped to avoid the formation of coarse grain structure.
Zheng, The grain growth and structure inheritance of 20CrMnMo and 17Cr2Ni2Mo steels, Heat.

Grain sizes were ranged from 15 to 35 mm.
The small SCC precracks with a depth in the order of one grain were used for the constant load SCC test to evaluate the threshold value of Ki.
The length of the SCC crack was in few grains at this stage and increased with increasing number of cycles due to coalescence of nucleated SCC cracks.
Number of cycles to failure, Nf (cycles) Maximum stress, smax (MPa) Fig. 10 Relationship between initial stress intensity factor and time to failure for constant load SCC test of precracked specimens in pressurized hot water at 7.3MPa and 288°C.
The Ki-values were calculated by assuming that the initial precrack was a semicircular surface crack with a half crack length of one grain and crack depth of one grain.

Material and procedure The examinations were performed on forged bars, 15 mm in diameter, of two medium-carbon Cr-Ni and Cr-Ni-Mn austenitic steels, 13/13 and 12/8/8 types, identified in the paper by the numbers 1 and 2.
The number of cycles required to damage a specimen Nf was adopted as a criterion for the durability of the investigated steels.
Lamella of M23C6 carbide on the grain boundaries and coherent particles of VC carbide in the austenitic matrix Fig. 2.
Particles of M23C6 carbide on the grain boundaries and coherent particles of VC carbide in the austenitic matrix Fig. 4.
A greater number of cycles (Nt = 1.3×103) were found for steel 1 type 13/13, and slightly lower (Nt = 0.8×103) for steel 2 type 12/8/8.