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Article
Binary 2D Morphologies of Polymer Phase Separation: Dataset and Python Toolbox
Mechanical Engineering Publications
  • Viraj Shah, Iowa State University
  • Ameya Joshi, Iowa State University
  • Balaji Sesha Sarath Pokuri, Iowa State University
  • Sambuddha Ghosal, Iowa State University
  • Soumik Sarkar, Iowa State University
  • Baskar Ganapathysubramanian, Iowa State University
  • Chinmay Hegde, Iowa State University
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
3-1-2019
Abstract

Study of the intricate connection between the design of material distributions (also called morphology or microstructure) and the final properties of the material system has been an attractive research theme for material science community. Such analysis provides ability to synthesize the microstructures exhibiting desired properties. This theme encompasses several material systems including porous materials [26], steels and welds [2], composites [14], powder metallurgy [28], 3D printing [22], energy storage devices as batteries [10], and energy converting devices like bulk hetero-junction solar cells [20]. Microstructure-sensitive design has been used to tailor a wide variety of properties including strengths, heat and mass diffusivities, energy storage capacity and lifetime, and energy conversion efficiency.

Comments

This is a manuscript of the article Shah, Viraj, Ameya Joshi, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Soumik Sarkar, Baskar Ganapathysubramanian, and Chinmay Hegde. "Binary 2D Morphologies of Polymer Phase Separation: Dataset and Python Toolbox." (2019). Posted with permission.

Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Viraj Shah, Ameya Joshi, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, et al.. "Binary 2D Morphologies of Polymer Phase Separation: Dataset and Python Toolbox" (2019)
Available at: http://works.bepress.com/baskar-ganapathysubramanian/85/