Campuses:

multiscale

Wednesday, May 17, 2017 - 4:00pm - 4:40pm
David Srolovitz (University of Pennsylvania)
This presentation focuses on the structure and energetics of line defects in 2D materials and their impact on microstructures. We employ several approaches in which local bonding information is determined using first principles methods, continuum methods are employed to describing in-plane strain and bending, and microstructures are described with phase field methods and/or Peierls-Nabarro models.
Monday, December 16, 2013 - 8:45am - 9:15am
Peter Schultz (Sandia National Laboratories)
How does one go from good science to good engineering, and conversely, how does one reach into sub-continuum scale physics to add greater fidelity to an engineering scale analysis meant to inform high-consequence decisions? For scientific investigations at the atomistic scale, the numerical analyses that feed into quantitative assessments of uncertainties at the engineering scale can seem inaccessibly remote.
Wednesday, November 16, 2011 - 3:15pm - 4:15pm
Rebecca Willett Lu (Duke University)
Sparse decomposition methods are effective tools in a myriad biomedical inverse problems. However, in many settings reconstruction is only an intermediate goal preceding additional quantitative analysis. For instance, we may wish to classify tissue types in microscope images or identify tumors or lesions based on computed tomography data. This talk describes how sparse image decomposition methods can be used in conjunction with multiscale set estimation methods to improve subsequent quantitative analyses on large medical datasets.
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