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Computational Electron Microscopy for the Characterization of Soft, Hard, and Hybrid Materials

Description:

Connecting structure and function in nanoscale engineered materials and devices relies on the analysis of the fundamental arrangement of matter, frequently under dynamic conditions. The demand to image structures at fundamental length scales has touched inorganic materials, biology, and frequently hybrid hard/soft materials with unique phenomena driven by heterogeneous components....

Keyword:

Imaging, Materials Imaging, Soft Materials, Crystallography, Machine Learning, and Electron Microscopy

Subject:

Nanoscience, Materials Science, and Computer science

Creator:

Hujsak, Karl

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2018-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14515 and etdadmin_upload_638887