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SES 2020 symposium: Modeling and Computational Methods for Polymer Networks and Gels

Shawn Chester (NJIT) and I (Technion) invite you to submit an abstract to the symposium “Modeling and Computational Methods for Polymer Networks and Gels” as part of the Society of Engineering Sciences 57th Annual Meeting (SES 2020). The meeting will take place at the Hyatt Regency Minneapolis during September 28-30, 2020.

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Drastic swelling-induced softening of polymer networks with non-covalent cross-linking bonds

Our recent work introduces a microscopically motivated model for the swelling response of polymer networks with non-covalent cross-linking bonds.

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Ph.D. and Post-doc positions available at the Technion, Israel

Our group is part of the Department of Materials Science and Engineering at Techion – Israel Institute of Technology, located in Haifa, Israel.

We employ theoretical and experimental tools to understand the relations between the micro-structure and the macroscopic response of soft materials. Materials of interest include electro-active polymers, 3D printed lattice structures, biopolymers, and gels.

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Ph.D. and Post-doct positions available at the Technion, Israel

<p>Our group is part of the Department of Materials Science and Engineering at Techion – Israel Institute of Technology, located in Haifa, Israel.</p>
<p>We employ theoretical and experimental tools to understand the relations between the micro-structure and the macroscopic response of soft materials. Materials of interest include electro-active polymers, 3D printed lattice structures, biopolymers, and gels.</p>

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On the origins of the electro-mechanical response of dielectric elastomers

Recent theoretical works have shown that the electro-mechanical performance of dielectric elastomers can be enhanced through micro-structural design.

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Electroelasticity of polymer networks

This work introduces a new microscopically-motivated model for the electromechanical response of elastomers:

http://ac.els-cdn.com/S0022509615303525/1-s2.0-S0022509615303525-main.pdf?_tid=1db1e302-202a-11e6-8a60-00000aacb361&acdnat=1463927774_d9ad1fa74b5b42fafcb28a8b6b2c9b60

The merit of this novel model is demonstrated in the following paper

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