The Experts below are selected from a list of 62661 Experts worldwide ranked by ideXlab platform
Kunio Yoshida - One of the best experts on this subject based on the ideXlab platform.
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influence of Pore Volume on laser performance of nd yag ceramics
Journal of Materials Science, 1999Co-Authors: Akio Ikesue, Kunio YoshidaAbstract:For present study, 1.1 at % Nd-doped YAG ceramics with a controlled Pore Volume (150–930 vol ppm) were fabricated by a solid-state reaction method using high-purity powders. The scattering coefficients of Nd : YAG ceramics, obtained from Fresnel' equation, increased simply with increases in the Pore Volume. The cw laser output power of Nd : YAG ceramics was clearly related to the scattering coefficients of the specimens examined in the present works, which in turn were affected on the Pore Volume. The effective scattering coefficients of Nd : YAG ceramics with a Pore Volume of ∼150 vol ppm were nearly equivalent to those of a 0.9 at %Nd : YAG single crystal by Czochralski method. As the exciting power was increased under excitation by an 808-nm diode laser, however, the laser output power of the Nd : YAG ceramics exceeded that of the Nd : YAG single crystal because of the fairly large amount of Nd additives. The lasing performance of the Nd : YAG ceramics changed drastically with change in Pore Volume. On the other hand, lasing performance was not affected by the existence of grain boundaries in the polycrystalline Nd : YAG ceramics.
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Influence of Pore Volume on laser performance of Nd : YAG ceramics
Journal of Materials Science, 1999Co-Authors: Akio Ikesue, Kunio YoshidaAbstract:For present study, 1.1 at % Nd-doped YAG ceramics with a controlled Pore Volume (150–930 vol ppm) were fabricated by a solid-state reaction method using high-purity powders. The scattering coefficients of Nd : YAG ceramics, obtained from Fresnel' equation, increased simply with increases in the Pore Volume. The cw laser output power of Nd : YAG ceramics was clearly related to the scattering coefficients of the specimens examined in the present works, which in turn were affected on the Pore Volume. The effective scattering coefficients of Nd : YAG ceramics with a Pore Volume of ∼150 vol ppm were nearly equivalent to those of a 0.9 at %Nd : YAG single crystal by Czochralski method. As the exciting power was increased under excitation by an 808-nm diode laser, however, the laser output power of the Nd : YAG ceramics exceeded that of the Nd : YAG single crystal because of the fairly large amount of Nd additives. The lasing performance of the Nd : YAG ceramics changed drastically with change in Pore Volume. On the other hand, lasing performance was not affected by the existence of grain boundaries in the polycrystalline Nd : YAG ceramics.
Akio Ikesue - One of the best experts on this subject based on the ideXlab platform.
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influence of Pore Volume on laser performance of nd yag ceramics
Journal of Materials Science, 1999Co-Authors: Akio Ikesue, Kunio YoshidaAbstract:For present study, 1.1 at % Nd-doped YAG ceramics with a controlled Pore Volume (150–930 vol ppm) were fabricated by a solid-state reaction method using high-purity powders. The scattering coefficients of Nd : YAG ceramics, obtained from Fresnel' equation, increased simply with increases in the Pore Volume. The cw laser output power of Nd : YAG ceramics was clearly related to the scattering coefficients of the specimens examined in the present works, which in turn were affected on the Pore Volume. The effective scattering coefficients of Nd : YAG ceramics with a Pore Volume of ∼150 vol ppm were nearly equivalent to those of a 0.9 at %Nd : YAG single crystal by Czochralski method. As the exciting power was increased under excitation by an 808-nm diode laser, however, the laser output power of the Nd : YAG ceramics exceeded that of the Nd : YAG single crystal because of the fairly large amount of Nd additives. The lasing performance of the Nd : YAG ceramics changed drastically with change in Pore Volume. On the other hand, lasing performance was not affected by the existence of grain boundaries in the polycrystalline Nd : YAG ceramics.
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Influence of Pore Volume on laser performance of Nd : YAG ceramics
Journal of Materials Science, 1999Co-Authors: Akio Ikesue, Kunio YoshidaAbstract:For present study, 1.1 at % Nd-doped YAG ceramics with a controlled Pore Volume (150–930 vol ppm) were fabricated by a solid-state reaction method using high-purity powders. The scattering coefficients of Nd : YAG ceramics, obtained from Fresnel' equation, increased simply with increases in the Pore Volume. The cw laser output power of Nd : YAG ceramics was clearly related to the scattering coefficients of the specimens examined in the present works, which in turn were affected on the Pore Volume. The effective scattering coefficients of Nd : YAG ceramics with a Pore Volume of ∼150 vol ppm were nearly equivalent to those of a 0.9 at %Nd : YAG single crystal by Czochralski method. As the exciting power was increased under excitation by an 808-nm diode laser, however, the laser output power of the Nd : YAG ceramics exceeded that of the Nd : YAG single crystal because of the fairly large amount of Nd additives. The lasing performance of the Nd : YAG ceramics changed drastically with change in Pore Volume. On the other hand, lasing performance was not affected by the existence of grain boundaries in the polycrystalline Nd : YAG ceramics.
Qi Zhang - One of the best experts on this subject based on the ideXlab platform.
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nitrogen and sulfur codoped porous carbon nanospheres with hierarchical micromesoporous structures and an ultralarge Pore Volume for high performance supercapacitors
ACS Applied Materials & Interfaces, 2020Co-Authors: Bingqiu Liu, Qi Zhang, Zhao Wang, Zhanshuang Jin, Chungang Wang, Lingyu Zhang, Lihua ChenAbstract:The carbon nanostructure with heteroatom doping having well-designed porosity and a large Pore Volume plays a vital role in high-performance supercapacitors. Herein, we synthesize hierarchical nitr...
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encapsulating red phosphorus in ultralarge Pore Volume hierarchical porous carbon nanospheres for lithium sodium ion half full batteries
ACS Nano, 2019Co-Authors: Bingqiu Liu, Qi Zhang, Zhanshuang Jin, Chungang Wang, Lingyu ZhangAbstract:Red phosphorus (P) has been recognized as a promising material for lithium/sodium-ion batteries (LIBs/SIBs) because of their high theoretical capacity. However, tremendous Volume variation and low conductivity limit its widespread applications. Hence, we design and synthesize uniformly distributed honeycomb-like hierarchical micro-mesoporous carbon nanospheres (HHPCNSs) with ultralarge Pore Volume (3.258 cm3 g-1) on a large scale through a facile way. The large Pore Volume provides enough space for loading of P and the expansion of P, and the uniform distribution of the micro-mesoPores enables the red P to load uniformly. The resulting HHPCNSs/P composite exhibits extremely high capacity (2463.8 and 2367.6 mA h g-1 at 0.1 A g-1 for LIBs and SIBs, respectively), splendid rate performance (842.2 and 831.1 mA h g-1 at 10 A g-1 for LIBs and SIBs, respectively) and superior cycling stability (1201.6 and 938.4 mA h g-1 at 2 and 5 A g-1 after 1000 cycles for LIBs and 1269.4 and 861.8 mA h g-1 at 2 and 5 A g-1 after 1000 cycles for SIBs, respectively). More importantly, when coupled with LiFePO4 and Na3V2(PO4)3 cathode, lithium/sodium-ion full batteries display high capacity and superior rate and cycling performances, revealing the practicability of the HHPCNSs/P composite. The exceptional electrochemical performance is caused by the honeycomb-like carbon network with ultralarge Pore Volume, uniformly distributed hierarchical micro-mesoporous nanostructure, outstanding electronic conductivity, and excellent nanostructural stability, which is much better than currently reported P/C materials for both LIBs and SIBs.
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Pore scale remaining oil distribution under different Pore Volume water injection based on ct technology
ADVANCES IN GEO-ENERGY RESEARCH, 2017Co-Authors: Zhihui Liu, Qi Zhang, Yongfei Yang, Jun Yao, Qihao QianAbstract:A water-injection experiment was performed on a water-wet reservoir core plug that was filled with brine first and then displaced by synthetic oil. A X-ray Computed Tomography was used to take snapshots of the process of oil-water displacement at predefined time intervals to characterize the distribution of remaining oil. The quasi-real time images were used to understand the Pore-scale phase displacement mechanisms and the distributional pattern of the remaining oil. Four forms of the distributional patterns, i.e. network, porous, isolated and film shape, were observed and analyzed with respect to the injected Pore Volumes (PV). The results show that with the increased level of water injection, the Volume of the oil phase continuously decreases, and the morphology of the oil phase changes from initial continuous network-like to film shape forms. At 15 PV, the network- like remaining oil disappears and transforms into isolated and film-like forms. The statistics of the Volume for each form of the remaining oil show that the isolated blobs increase with increasing water injection, by contrast, the average Volume of the remaining oil decreases with increasing water injection. The rate of Volumetric changes is fast before 5 PV but slow in the later period. Cited as : Liu, Z., Yang, Y., Yao, J., et al. Pore-scale remaining oil distribution under different Pore Volume water injection based on CT technology. Advances in Geo-Energy Research, 2017, 1(3): 171-181, doi: 10.26804/ager.2017.03.04
Jinwoo Lee - One of the best experts on this subject based on the ideXlab platform.
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synergistic effect of molecular type electrocatalysts with ultrahigh Pore Volume carbon microspheres for lithium sulfur batteries
ACS Nano, 2018Co-Authors: Wongwang Lim, Yeongdong Mun, Ara Cho, Seonggyu Lee, Jeong Woo Han, Jinwoo LeeAbstract:Lithium–sulfur (Li–S) batteries are regarded as potential high-energy storage devices due to their outstanding energy density. However, the low electrical conductivity of sulfur, dissolution of the active material, and sluggish reaction kinetics cause poor cycle stability and rate performance. A variety of approaches have been attempted to resolve the above issues and achieve enhanced electrochemical performance. However, inexpensive multifunctional host materials which can accommodate large quantities of sulfur and exhibit high electrode density are not widely available, which hinders the commercialization of Li–S batteries. Herein, mesoporous carbon microspheres with ultrahigh Pore Volume are synthesized, followed by the incorporation of Fe–N–C molecular catalysts into the mesoPores, which can act as sulfur hosts. The ultrahigh Pore Volume of the prepared host material can accommodate up to ∼87 wt % sulfur, while the uniformly controlled spherical morphology and particle size of the carbon microspheres ...
Ali Nazari - One of the best experts on this subject based on the ideXlab platform.
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RETRACTED ARTICLE: Predicting the total specific Pore Volume of geopolymers produced from waste ashes by gene expression programming
Neural Computing and Applications, 2019Co-Authors: Ali NazariAbstract:In the present work, total specific Pore Volume of inorganic polymers (geopolymers) made from seeded fly ash and rice husk–bark ash has been predicted by gene expression programming. To build the model, training and testing using experimental results from 120 specimens were conducted. The values for input layers were the percentage of fine fly ash in the ashes mixture, the percentage of coarse fly ash in the ashes mixture, the percentage of fine rice husk–bark ash in the ashes mixture, the percentage of coarse rice husk–bark ash in the ashes mixture, the temperature of curing, and the time of water curing. According to the input parameters, in the gene expression programming models, the Pore Volume of each specimen was predicted. The training and testing results in the gene expression programming models have shown a strong potential for predicting the total specific Pore Volume of the geopolymer specimens.
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artificial neural networks to prediction total specific Pore Volume of geopolymers produced from waste ashes
Neural Computing and Applications, 2013Co-Authors: Ali Nazari, Shadi RiahiAbstract:In the present work, total specific Pore Volume of inorganic polymers (geopolymers) made from seeded fly ash and rice husk bark ash has been predicted by artificial neural networks. Different specimens were subjected to porosimetry tests at 7 and 28 days of curing. One set of the specimens were cured at room temperature until reaching to 7 and 28 days, and the other sets were oven-cured for 36 h at the range of 40–90°C and then cured at room temperature until 7 and 28 days. To build the neural network models, training and testing using experimental results from 120 specimens were conducted. According to these input parameters, in the neural networks models, the Pore Volume of each specimen was predicted. The training and testing results in the neural networks model have shown a strong potential for predicting the total specific Pore Volume of the geopolymer specimens in the examined range.
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RETRACTED ARTICLE: Artificial neural networks to prediction total specific Pore Volume of geopolymers produced from waste ashes
Neural Computing and Applications, 2013Co-Authors: Ali Nazari, Shadi RiahiAbstract:In the present work, total specific Pore Volume of inorganic polymers (geopolymers) made from seeded fly ash and rice husk bark ash has been predicted by artificial neural networks. Different specimens were subjected to porosimetry tests at 7 and 28 days of curing. One set of the specimens were cured at room temperature until reaching to 7 and 28 days, and the other sets were oven-cured for 36 h at the range of 40–90°C and then cured at room temperature until 7 and 28 days. To build the neural network models, training and testing using experimental results from 120 specimens were conducted. According to these input parameters, in the neural networks models, the Pore Volume of each specimen was predicted. The training and testing results in the neural networks model have shown a strong potential for predicting the total specific Pore Volume of the geopolymer specimens in the examined range.
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Predicting the total specific Pore Volume of geopolymers produced from waste ashes by gene expression programming
Neural Computing and Applications, 2012Co-Authors: Ali NazariAbstract:In the present work, total specific Pore Volume of inorganic polymers (geopolymers) made from seeded fly ash and rice husk–bark ash has been predicted by gene expression programming. To build the model, training and testing using experimental results from 120 specimens were conducted. The values for input layers were the percentage of fine fly ash in the ashes mixture, the percentage of coarse fly ash in the ashes mixture, the percentage of fine rice husk–bark ash in the ashes mixture, the percentage of coarse rice husk–bark ash in the ashes mixture, the temperature of curing, and the time of water curing. According to the input parameters, in the gene expression programming models, the Pore Volume of each specimen was predicted. The training and testing results in the gene expression programming models have shown a strong potential for predicting the total specific Pore Volume of the geopolymer specimens.
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Prediction total specific Pore Volume of geopolymers produced from waste ashes by fuzzy logic
Materials Research, 2012Co-Authors: Ali Nazari, Gholamreza KhalajAbstract:In the present work, total specific Pore Volume of inorganic polymers (geopolymers) made from seeded fly ash and rice husk bark ash has been predicted by fuzzy logic. Different specimens, made from a mixture of fly ash and rice husk bark ash in fine and coarse form together with alkali activator made of water glass and NaOH solution, were subjected to porosimetry tests at 7 and 28 days of curing. The curing regime was different: one set of the specimens were cured at room temperature until reaching to 7 and 28 days and the other sets were oven cured for 36 hours at the range of 40-90 °C and then cured at room temperature until 7 and 28 days. A model based on fuzzy logic for predicting the total specific Pore Volume of the specimens has been presented. To build the model, training and testing using experimental results from 120 specimens were conducted. The used data as the inputs of fuzzy logic models are arranged in a format of six parameters that cover the percentage of fine fly ash in the ashes mixture, the percentage of coarse fly ash in the ashes mixture, the percentage of fine rice husk bark ash in the ashes mixture, the percentage of coarse rice husk bark ash in the ashes mixture, the temperature of curing and the time of water curing. According to the input parameters, in the fuzzy logic model, the Pore Volume of each specimen was predicted. The training and testing results in the fuzzy logic model have shown a strong potential for predicting the total specific Pore Volume of the geopolymer specimens in the considered range.
