The Experts below are selected from a list of 39 Experts worldwide ranked by ideXlab platform

Jinsheng Chen - One of the best experts on this subject based on the ideXlab platform.

  • highly active pd based Catalysts with hierarchical pore structure for toluene oxidation Catalyst Property and reaction determining factor
    Chemical Engineering Journal, 2012
    Co-Authors: Chi He, Jianrong Li, Xinyan Zhang, Jinsheng Chen
    Abstract:

    A series of micro/mesoporous hybridized materials with coke-resistant ZSM-5 and three-dimensional large pore KIT-6 as their micro- and mesoporous components were synthesized and investigated for toluene deep oxidation. The characterization results show that most of Al atoms are tetrahedrally coordinated in the framework of the samples, and the ratio of ZSM-5 to KIT-6 can be systematically controlled by varying the Si/Al molar ratio in the synthesis mixture. The acid sites over the supports are favorable for Pd nanoparticle dispersion and metallic Pd oxidation due to their electrophilic characters. All Pd supported composite materials are found to be powerful Catalysts for the total oxidation of toluene. Particularly, Pd/ZK-50 possesses the highest catalytic activity with 90% toluene decomposition at 197 degrees C, this temperature is much lower than that of Pd/KIT-6 (T-90 = 234 degrees C). CO2 desorption capability has positive effects on catalytic activity, while the influence of toluene adsorption Property is negligible. The superior activity of the composite Catalysts can be ascribed to the cumulative of specific surface area, support acidity, Pd particles dispersion and CO2 desorption capability. (C) 2011 Elsevier B.V. All rights reserved.

Keiichi Tomishige - One of the best experts on this subject based on the ideXlab platform.

  • Catalyst Property of co fe alloy particles in the steam reforming of biomass tar and toluene
    Applied Catalysis B-environmental, 2012
    Co-Authors: Lei Wang, Yuji Hisada, Mitsuru Koike, Dalin Li, Hideo Watanabe, Yoshinao Nakagawa, Keiichi Tomishige
    Abstract:

    Abstract Performance of Co–Fe/Al 2 O 3 Catalysts with the optimum composition (Fe/Co = 0.25) was much higher than corresponding monometallic Co and Fe Catalysts in the steam reforming of tar from the pyrolysis of cedar wood in terms of the catalytic activity and the suppression of coke deposition. According to the Catalyst characterization, the fcc and bcc Co–Fe alloys were formed by H 2 reduction on the Co–Fe/Al 2 O 3 Catalyst. In the steam reforming of toluene, the addition of H 2 to the reactant gas enhanced the activity of Co–Fe/Al 2 O 3 remarkably. Without H 2 addition, bcc Co–Fe alloy particles were oxidized and this is connected to the deactivation. With H 2 addition, the bcc Co–Fe alloy with an appropriate composition is maintained in metallic state and it contribute to high activity in the steam reforming of toluene.

Chi He - One of the best experts on this subject based on the ideXlab platform.

  • highly active pd based Catalysts with hierarchical pore structure for toluene oxidation Catalyst Property and reaction determining factor
    Chemical Engineering Journal, 2012
    Co-Authors: Chi He, Jianrong Li, Xinyan Zhang, Jinsheng Chen
    Abstract:

    A series of micro/mesoporous hybridized materials with coke-resistant ZSM-5 and three-dimensional large pore KIT-6 as their micro- and mesoporous components were synthesized and investigated for toluene deep oxidation. The characterization results show that most of Al atoms are tetrahedrally coordinated in the framework of the samples, and the ratio of ZSM-5 to KIT-6 can be systematically controlled by varying the Si/Al molar ratio in the synthesis mixture. The acid sites over the supports are favorable for Pd nanoparticle dispersion and metallic Pd oxidation due to their electrophilic characters. All Pd supported composite materials are found to be powerful Catalysts for the total oxidation of toluene. Particularly, Pd/ZK-50 possesses the highest catalytic activity with 90% toluene decomposition at 197 degrees C, this temperature is much lower than that of Pd/KIT-6 (T-90 = 234 degrees C). CO2 desorption capability has positive effects on catalytic activity, while the influence of toluene adsorption Property is negligible. The superior activity of the composite Catalysts can be ascribed to the cumulative of specific surface area, support acidity, Pd particles dispersion and CO2 desorption capability. (C) 2011 Elsevier B.V. All rights reserved.

Lei Wang - One of the best experts on this subject based on the ideXlab platform.

  • Catalyst Property of co fe alloy particles in the steam reforming of biomass tar and toluene
    Applied Catalysis B-environmental, 2012
    Co-Authors: Lei Wang, Yuji Hisada, Mitsuru Koike, Dalin Li, Hideo Watanabe, Yoshinao Nakagawa, Keiichi Tomishige
    Abstract:

    Abstract Performance of Co–Fe/Al 2 O 3 Catalysts with the optimum composition (Fe/Co = 0.25) was much higher than corresponding monometallic Co and Fe Catalysts in the steam reforming of tar from the pyrolysis of cedar wood in terms of the catalytic activity and the suppression of coke deposition. According to the Catalyst characterization, the fcc and bcc Co–Fe alloys were formed by H 2 reduction on the Co–Fe/Al 2 O 3 Catalyst. In the steam reforming of toluene, the addition of H 2 to the reactant gas enhanced the activity of Co–Fe/Al 2 O 3 remarkably. Without H 2 addition, bcc Co–Fe alloy particles were oxidized and this is connected to the deactivation. With H 2 addition, the bcc Co–Fe alloy with an appropriate composition is maintained in metallic state and it contribute to high activity in the steam reforming of toluene.

Dionisios G. Vlachos - One of the best experts on this subject based on the ideXlab platform.

  • Effect of multiscale model uncertainty on identification of optimal Catalyst properties
    Journal of Catalysis, 2011
    Co-Authors: Zachary W. Ulissi, Vinay Prasad, Dionisios G. Vlachos
    Abstract:

    Computer-based Catalyst design has been a long standing dream of the chemistry community for replacing tedious and expensive experimental trial-and-error. While first-principle kinetic modeling emerges as a powerful tool for Catalyst selection, it has mainly been limited to using a single Catalyst descriptor, simplified chemical kinetic models, and assumptions that question the predictive capability of computational results in the absence of addressing the effect of error in kinetic parameters. Here, we introduce a new framework to address the effect of model uncertainty on optimal Catalyst Property identification. The framework is applied to the ammonia decomposition reaction for CO-free H2 production for fuel cells. It is shown that a range of materials, rather than a single material, should be experimentally screened. Among kinetic model parameters, the often neglected adsorbate–adsorbate interactions can have a profound effect on Catalyst selection. The importance of lateral interactions is confirmed with recent experimental data.