Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems
Buch in deiner Nähe kaufen
Beschreibung
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 volume discusses the multiscale simulation approaches in nanoscale metal-insulator-metal junction, molecular memory, ionic transport in zeolite based fuel cell systems, dynamics of biomolecular ions, 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.
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.
Nominated as an outstanding contribution by the California Institute of Technology New research in an emerging field 40 color figures to enhance readability Includes supplementary material: sn.pub/extras
Autor*in
Hyungjun Kim
Themen in »Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems«
Bio-systems Multiphysics Multiscale Nano-systems Nanoscale metal-insulator-metal junction biomolecules ionic transport in zeolite systems model lung system molecular memory