Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems

preview-18
  • Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems Book Detail

  • Author : Hyungjun Kim
  • Release Date : 2010-11-18
  • Publisher : Springer Science & Business Media
  • Genre : Science
  • Pages : 191
  • ISBN 13 : 1441976019
  • File Size : 58,58 MB

Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems by Hyungjun Kim PDF Summary

Book Description: This volume develops multiscale and multiphysics simulation methods to understand nano- and bio-systems by overcoming the limitations of time- and length-scales. Here the key issue is to extend current computational simulation methods to be useful for providing microscopic understanding of complex experimental systems. This thesis discusses the multiscale simulation approaches in nanoscale metal-insulator-metal junction, molecular memory, ionic transport in zeolite systems, dynamics of biomolecules such as lipids, and model lung system. Based on the cases discussed here, the author suggests various systematic strategies to overcome the limitations in time- and length-scales of the traditional monoscale approaches.

Disclaimer: www.yourbookbest.com does not own Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Neural Information Processing

Neural Information Processing

File Size : 29,29 MB
Total View : 5953 Views
DOWNLOAD

The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Process

Atomic Layer Deposition Applications 5

Atomic Layer Deposition Applications 5

File Size : 40,40 MB
Total View : 2903 Views
DOWNLOAD

Atomic Layer Deposition can enable precise deposition of ultra-thin, highly conformal coatings over complex 3D topography, with controlled composition and prope