Binary 2D Morphologies of Polymer Phase Separation: Dataset and Python Toolbox

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. Disciplines Computer-Aided Engineering and Design | Mechanical Engineering | Structural Materials 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. Authors Viraj Shah, Ameya Joshi, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Soumik Sarkar, Baskar Ganapathysubramanian, and Chinmay Hegde This article is available at Iowa State University Digital Repository: https://lib.dr.iastate.edu/me_pubs/359 Binary 2D Morphologies of Polymer Phase Separation: Dataset and Python Toolbox Viraj Shah∗, Ameya Joshi, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde Iowa State University

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