The Experts below are selected from a list of 255 Experts worldwide ranked by ideXlab platform

Kezhen Yan - One of the best experts on this subject based on the ideXlab platform.

  • A new nonlinear viscoelastic model and Mathematical Solution of solids for improving prediction accuracy.
    Scientific reports, 2020
    Co-Authors: Björn Engquist, Mansour Solaimanian, Kezhen Yan
    Abstract:

    We developed an innovative material nonlinear viscoelastic model with physical mechanism and Mathematical Solution to improve existing ones. The relaxation modulus transits from the glassy stage to the rubbery stage through a time-dependent viscosity in a continuous spectrum considering the nonlinear strain hardening. Experimental results of differential solid materials including asphalt concrete, agarose gel, vaginal tissue, polymer, agar, bone, spider silk, and hydrogel demonstrate that the developed model is superior to generalized Maxwell model or Prony series for more accurate prediction outside of the range for data fitting while using much less model parameters. Numerical simulation results indicate that the new model has improved accuracy. It is stable numerically, and does not reduce computation speed. Therefore, the model may be used to simulate a broad range of viscoelastic solids for predicting experimental data and responses with improved accuracy.

Miho Shidahara - One of the best experts on this subject based on the ideXlab platform.

  • PET kinetic analysis—compartmental model
    Annals of Nuclear Medicine, 2006
    Co-Authors: Hiroshi Watabe, Mika Naganawa, Yuichi Kimura, Yoko Ikoma, Miho Shidahara
    Abstract:

    PET enables not only visualization of the distribution of radiotracer, but also has ability to quantify several biomedical functions. Compartmental model is a basic idea to analyze dynamic PET data. This review describes the principle of the compartmental model and categorizes the techniques and approaches for the compartmental model according to various aspects: model design, experimental design, invasiveness, and Mathematical Solution. We also discussed advanced applications of the compartmental analysis with PET.

  • PET kinetic analysis--compartmental model.
    Annals of nuclear medicine, 2006
    Co-Authors: Hiroshi Watabe, Mika Naganawa, Yuichi Kimura, Yoko Ikoma, Miho Shidahara
    Abstract:

    PET enables not only visualization of the distribution of radiotracer, but also has ability to quantify several biomedical functions. Compartmental model is a basic idea to analyze dynamic PET data. This review describes the principle of the compartmental model and categorizes the techniques and approaches for the compartmental model according to various aspects: model design, experimental design, invasiveness, and Mathematical Solution. We also discussed advanced applications of the compartmental analysis with PET.

Björn Engquist - One of the best experts on this subject based on the ideXlab platform.

  • A new nonlinear viscoelastic model and Mathematical Solution of solids for improving prediction accuracy.
    Scientific reports, 2020
    Co-Authors: Björn Engquist, Mansour Solaimanian, Kezhen Yan
    Abstract:

    We developed an innovative material nonlinear viscoelastic model with physical mechanism and Mathematical Solution to improve existing ones. The relaxation modulus transits from the glassy stage to the rubbery stage through a time-dependent viscosity in a continuous spectrum considering the nonlinear strain hardening. Experimental results of differential solid materials including asphalt concrete, agarose gel, vaginal tissue, polymer, agar, bone, spider silk, and hydrogel demonstrate that the developed model is superior to generalized Maxwell model or Prony series for more accurate prediction outside of the range for data fitting while using much less model parameters. Numerical simulation results indicate that the new model has improved accuracy. It is stable numerically, and does not reduce computation speed. Therefore, the model may be used to simulate a broad range of viscoelastic solids for predicting experimental data and responses with improved accuracy.

Hiroshi Watabe - One of the best experts on this subject based on the ideXlab platform.

  • PET kinetic analysis—compartmental model
    Annals of Nuclear Medicine, 2006
    Co-Authors: Hiroshi Watabe, Mika Naganawa, Yuichi Kimura, Yoko Ikoma, Miho Shidahara
    Abstract:

    PET enables not only visualization of the distribution of radiotracer, but also has ability to quantify several biomedical functions. Compartmental model is a basic idea to analyze dynamic PET data. This review describes the principle of the compartmental model and categorizes the techniques and approaches for the compartmental model according to various aspects: model design, experimental design, invasiveness, and Mathematical Solution. We also discussed advanced applications of the compartmental analysis with PET.

  • PET kinetic analysis--compartmental model.
    Annals of nuclear medicine, 2006
    Co-Authors: Hiroshi Watabe, Mika Naganawa, Yuichi Kimura, Yoko Ikoma, Miho Shidahara
    Abstract:

    PET enables not only visualization of the distribution of radiotracer, but also has ability to quantify several biomedical functions. Compartmental model is a basic idea to analyze dynamic PET data. This review describes the principle of the compartmental model and categorizes the techniques and approaches for the compartmental model according to various aspects: model design, experimental design, invasiveness, and Mathematical Solution. We also discussed advanced applications of the compartmental analysis with PET.

Mansour Solaimanian - One of the best experts on this subject based on the ideXlab platform.

  • A new nonlinear viscoelastic model and Mathematical Solution of solids for improving prediction accuracy.
    Scientific reports, 2020
    Co-Authors: Björn Engquist, Mansour Solaimanian, Kezhen Yan
    Abstract:

    We developed an innovative material nonlinear viscoelastic model with physical mechanism and Mathematical Solution to improve existing ones. The relaxation modulus transits from the glassy stage to the rubbery stage through a time-dependent viscosity in a continuous spectrum considering the nonlinear strain hardening. Experimental results of differential solid materials including asphalt concrete, agarose gel, vaginal tissue, polymer, agar, bone, spider silk, and hydrogel demonstrate that the developed model is superior to generalized Maxwell model or Prony series for more accurate prediction outside of the range for data fitting while using much less model parameters. Numerical simulation results indicate that the new model has improved accuracy. It is stable numerically, and does not reduce computation speed. Therefore, the model may be used to simulate a broad range of viscoelastic solids for predicting experimental data and responses with improved accuracy.