Innovative Computing
Harvard,
Updated On 02 Feb, 19
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
4.1 ( 11 )
Modern science is increasingly faced with problems of ever greater complexity, straddling across the traditional disciplinary boundaries between physics, chemistry, material science and biology. Computational science is responding to this challenge with a steadfast development of innovative modeling techniques, designed in such a way as to offer an optimal handling of the information transfer procedures connecting the different scaleslevels involved in the quantitative description of the aforementioned complex phenomena. This entails the seamless coupling between different mathematical representations of various physical phenomena at widely disparate scales, from continuum fields to probability distribution functions and atomistic trajectories, all the way down to many-body quantum wave functions. In this series of lectures, we shall provide an introduction to the basic ideas behind these triple-M (multiscalemultiphysicsmultilevel) techniques, together with the illustration of a few practical examples, drawn from concrete applications in leading areas of multiphysics research, such as micronanofluidics, turbulence and material science.
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.