Lin leads effort to publish special issue of the 'Journal of Computational Physics'

Lin leads effort to publish special issue of the 'Journal of Computational Physics'

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Ching-Long Lin, professor of mechanical and industrial engineering and faculty research engineer at IIHR—Hydroscience & Engineering, served as lead guest editor of a new special issue of the Journal of Computational Physics, focusing on Multi-Scale Modeling and Simulation of Biological Systems.

The special issue seeks to promote research in the area of modeling and analysis of biomedical, biological, and behavioral systems, with a particular emphasis on multiscale modeling. This special issue also serves to support the missions of the Multiscale Modeling Consortium under the Interagency Modeling and Analysis Group, a coalition of program officers from 10 government agencies in the United States and Canada.

The special issue includes 21 papers that cover at least one aspect of the theme, with applications to one of the following six biological systems:

  • Cardiovascular system
  • Respiratory system
  • Cells/proteins
  • Biochemical processes
  • Bone mechanics
  • Predicting surgery outcomes

“We hope this issue will be a valuable resource for years to come,” Lin says. “Our work documents the current state-of-the-art multiscale modeling and computational methodologies and strategies, and we hope to further stimulate advances in these fields.”

Lin, who is also a professor of mechanical and industrial engineering at the University of Iowa College of Engineering, is a key player in the effort to develop a digital lung. Lin’s multiscale, imaging-based, high-performance parallel computational fluid dynamic model can simulate the air flow and particle deposition in the human lung. The model can also derive sensitive structural and functional variables to categorize or phenotype subpopulations of healthy and diseased lungs.

To learn more about the special issue of the Journal of Computational Physics, visit www.sciencedirect.com/science/journal/00219991/244.

Contacts

Ching-Long Lin, Mechanical and Industrial Engineering/IIHR—Hydroscience & Engineering, 319-335-5673

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