SignUpInnovative Computing
Harvard,
Updated On 02 Feb, 19
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Harvard,
Updated On 02 Feb, 19
Contents:
Books to Bench to Bedside Informatics for Autism Research - An Introduction to the Dataverse Network as an Infrastructure for Data Sharing - Astronomy as I See It-Statistical Signal Processing for Modern High - Dimensional Data Sets - An Introduction to Computational Multi-physics: Motivations for Triple-M Modeling-Selected Applications Part-Theoretical Background Part - An Introduction to Computational Multi-physics: Selected Applications Part-Examples/Applications Part-Theoretical Background Part - Medical Imaging Computing: From Data to Understanding - From Bio-polymer Translation to Hemo dynamics: New Challenges in Multi-scale Computing
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Multiscale modeling is the capability of representing different levels of phenomena, occurring at diverse spatial and temporal scales, within a unified conceptual framework. A typical example is the behavior of long molecules or nanosuspensions under the action of complex hydrodynamic flows. Our computational work tackles different phenomena such as biopolymer translocation through nanopores and hemodynamics in arteries with a novel computational scheme. The solution of such large-scale problems calls for the exploitation of powerful parallel architectures, such as the Blue Gene supercomputer, and sophisticated visualization tools to gain insight into the realm of multi-scale phenomena.
Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.
