research

Dear Colleagues,

This is the preprint of an article on the design of elastomer networks for optimal electromechanical response that will appear in JMPS. We explore how various structural properties of an elastomer network (e.g. density of cross-links, fraction of loose-end monomers, orientation density of chains, etc.) affects both its bulk elastic and dielectric properties, and its performance as an actuator. (https://doi.org/10.1016/j.jmps.2020.104171).

Dear US Academic Researchers,

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EML Webinar on 7 October 2020 will be given by Prof. Kaushik Bhattacharya, Caltech, Discussion leader: Shengqiang Cai, UCSD

Title: Title: Liquid crystal elastomers

Time: 7 am California, 10 am Boston, 3 pm London, 10 pm Beijing on 7 October 2020

Zoom Link: https://harvard.zoom.us/j/271079684 

Zoom ID: 271 079 684

Toughening Transparent Ceramics with Bio-inspired Architectures

Zhen Yin ^{(1, 2)}

¹ McGill University, Canada

² Max Planck Institute for Intelligent Systems, Germany

Acknowledgement: This journal club was posted on my last day in Montreal. Thanks Prof. Francois Barthelat and all the group memebers for the wonderful six years. A special thanks goes to Prof. Francois Barthelat for his advisory in these years that makes this journal club possible. 

My account

A phase-field model based on a modified form of the regularized formulation of Griffith’s fracture theory is presented to investigate intergranular and transgranular crack propagations in polycrystalline brittle materials. Grains and grain boundaries are incorporated in the crack initiation and propagation model based on a phase-field model for grain growth, in which the elastic anisotropy varies based on the grain orientation angle, and the grain boundary energy is related to the misorientation angle of the adjacent grains.

Title: Direct coupling predicting the strength and life of fiberous composite laminates

Speaker: Dr. Ken L Reifsnider

Time: 10/8, 11AM-12PM EST.

Please go to https://www.purdue.edu/cmsc/events/2020-webinars/ to register for this talk.

There is a new paper in predicting battery aging without testing based empirical models.  "Entropy generation model to estimate battery aging"

https://www.sciencedirect.com/science/article/abs/pii/S2352152X20315772…

https://www.linkedin.com/feed/update/urn:li:activity:671384407290732134…