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Activation Degree
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Wataru Ueda – One of the best experts on this subject based on the ideXlab platform.
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Effect of Activation Degree of Resorcinol–Formaldehyde Carbon Gels on Carbon monoxide Tolerance of Platinum–Ruthenium Polymer Electrolyte Fuel Cell Anode Catalyst
The Journal of Physical Chemistry C, 2014Co-Authors: Napan Narischat, Tatsuya Takeguchi, Takanori Tsuchiya, Takeshi Mori, Isao Ogino, Shin R. Mukai, Wataru UedaAbstract:Resorcinol–formaldehyde carbon gels (RFCs) show several advantageous properties as a catalyst support over other carbons, as their pore volume and pore size can be readily tailored, for example, via CO2 Activation. In this study, RFCs were synthesized with various Activation Degrees (burn-off) as 0, 37, 58, and 88% and used as the support for a PtRu anode electrode; a commercial Pt2Ru3/C anode catalyst was used as a reference. The catalysts were characterized by powder X-ray diffraction (PXRD), BET surface area, transmission electron microscopy (TEM), and scanning transmission electron microscopy (STEM). The performance and CO tolerance of the obtained catalysts were tested through single cell performance analysis with CO contaminations ranging from 100 to 2000 ppm. The prepared Pt2Ru3/RFC catalysts showed superior CO tolerance. Especially Pt2Ru3/RFC prepared using an RFC with a burn-off of 58% (RC1000Ac58) showed the highest performance and best CO tolerance. The Activation Degree could affect the volume…
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effect of Activation Degree of resorcinol formaldehyde carbon gels on carbon monoxide tolerance of platinum ruthenium polymer electrolyte fuel cell anode catalyst
Journal of Physical Chemistry C, 2014Co-Authors: Napan Narischat, Tatsuya Takeguchi, Takanori Tsuchiya, Takeshi Mori, Isao Ogino, Shin R. Mukai, Wataru UedaAbstract:Resorcinol–formaldehyde carbon gels (RFCs) show several advantageous properties as a catalyst support over other carbons, as their pore volume and pore size can be readily tailored, for example, via CO2 Activation. In this study, RFCs were synthesized with various Activation Degrees (burn-off) as 0, 37, 58, and 88% and used as the support for a PtRu anode electrode; a commercial Pt2Ru3/C anode catalyst was used as a reference. The catalysts were characterized by powder X-ray diffraction (PXRD), BET surface area, transmission electron microscopy (TEM), and scanning transmission electron microscopy (STEM). The performance and CO tolerance of the obtained catalysts were tested through single cell performance analysis with CO contaminations ranging from 100 to 2000 ppm. The prepared Pt2Ru3/RFC catalysts showed superior CO tolerance. Especially Pt2Ru3/RFC prepared using an RFC with a burn-off of 58% (RC1000Ac58) showed the highest performance and best CO tolerance. The Activation Degree could affect the volume…
Napan Narischat – One of the best experts on this subject based on the ideXlab platform.
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Effect of Activation Degree of Resorcinol–Formaldehyde Carbon Gels on Carbon monoxide Tolerance of Platinum–Ruthenium Polymer Electrolyte Fuel Cell Anode Catalyst
The Journal of Physical Chemistry C, 2014Co-Authors: Napan Narischat, Tatsuya Takeguchi, Takanori Tsuchiya, Takeshi Mori, Isao Ogino, Shin R. Mukai, Wataru UedaAbstract:Resorcinol–formaldehyde carbon gels (RFCs) show several advantageous properties as a catalyst support over other carbons, as their pore volume and pore size can be readily tailored, for example, via CO2 Activation. In this study, RFCs were synthesized with various Activation Degrees (burn-off) as 0, 37, 58, and 88% and used as the support for a PtRu anode electrode; a commercial Pt2Ru3/C anode catalyst was used as a reference. The catalysts were characterized by powder X-ray diffraction (PXRD), BET surface area, transmission electron microscopy (TEM), and scanning transmission electron microscopy (STEM). The performance and CO tolerance of the obtained catalysts were tested through single cell performance analysis with CO contaminations ranging from 100 to 2000 ppm. The prepared Pt2Ru3/RFC catalysts showed superior CO tolerance. Especially Pt2Ru3/RFC prepared using an RFC with a burn-off of 58% (RC1000Ac58) showed the highest performance and best CO tolerance. The Activation Degree could affect the volume…
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effect of Activation Degree of resorcinol formaldehyde carbon gels on carbon monoxide tolerance of platinum ruthenium polymer electrolyte fuel cell anode catalyst
Journal of Physical Chemistry C, 2014Co-Authors: Napan Narischat, Tatsuya Takeguchi, Takanori Tsuchiya, Takeshi Mori, Isao Ogino, Shin R. Mukai, Wataru UedaAbstract:Resorcinol–formaldehyde carbon gels (RFCs) show several advantageous properties as a catalyst support over other carbons, as their pore volume and pore size can be readily tailored, for example, via CO2 Activation. In this study, RFCs were synthesized with various Activation Degrees (burn-off) as 0, 37, 58, and 88% and used as the support for a PtRu anode electrode; a commercial Pt2Ru3/C anode catalyst was used as a reference. The catalysts were characterized by powder X-ray diffraction (PXRD), BET surface area, transmission electron microscopy (TEM), and scanning transmission electron microscopy (STEM). The performance and CO tolerance of the obtained catalysts were tested through single cell performance analysis with CO contaminations ranging from 100 to 2000 ppm. The prepared Pt2Ru3/RFC catalysts showed superior CO tolerance. Especially Pt2Ru3/RFC prepared using an RFC with a burn-off of 58% (RC1000Ac58) showed the highest performance and best CO tolerance. The Activation Degree could affect the volume…
Ping Guo – One of the best experts on this subject based on the ideXlab platform.
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texture segmentation based on neuronal Activation Degree of visual model
International Conference on Neural Information Processing, 2012Co-Authors: Fuqing Duan, Ping GuoAbstract:In the study of object recognition, image texture segmentation has being a hot and difficult aspect in computer vision. Feature extraction and texture segmentation algorithm are two key steps in texture segmentation. An effective texture description is the important factor of texture segmentation. In this paper, the neuronal Activation Degree (NAD) of visual model is exploited as the texture description of image patches. By processing the length and direction of NAD, we develop an effective segmentation strategy. First, the length of the NAD are used to partition blank area and non-blank area, then the mark index of neuron is used, which is maximally activated to identify the label of each segment unit to get an initial segmentation. Finally, region merging steps is exerted to get a desired result.
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ICONIP (5) – Texture segmentation based on neuronal Activation Degree of visual model
Neural Information Processing, 2012Co-Authors: Fuqing Duan, Ping GuoAbstract:In the study of object recognition, image texture segmentation has being a hot and difficult aspect in computer vision. Feature extraction and texture segmentation algorithm are two key steps in texture segmentation. An effective texture description is the important factor of texture segmentation. In this paper, the neuronal Activation Degree (NAD) of visual model is exploited as the texture description of image patches. By processing the length and direction of NAD, we develop an effective segmentation strategy. First, the length of the NAD are used to partition blank area and non-blank area, then the mark index of neuron is used, which is maximally activated to identify the label of each segment unit to get an initial segmentation. Finally, region merging steps is exerted to get a desired result.