2019-11-06
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Recently, Nano Energy (SCI influencing factor: 15.548), the top periodical in the nano energy field, has published a high-level academic paper of Feng Yancong, a teacher from South China Academy of Advanced Optoeletronics, entitled Construction of a particle network for ultrahigh permittivity of dielectric polymer composite toward energy devices. Prof. Zhou Guofu, Dr. Li Hao of SCNU and Prof. Liu Jun of Beijing University of Chemical Technology are co-corresponding authors.

Dielectric polymer composites are one of the key materials of an electronic paper device. Based on the phenomenon-electrowetting principle , permittivity is one of the key parameters. However, at present, the permittivity of most of the dielectric polymer composites is considerably lower than the predicted value of the Parallel Mode, the ideal model.

In the thesis, constructing a particle network opens a new way to study dielectric polymer composites. The particle network is constructed via coarse-grained molecular dynamics simulation for the first time to minimize deviation of permittivity between real polymer composite and ideal model, which has important guiding significance for the research of color electronic paper and other photoelectric devices.

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Simulation diagram

After studying under Prof. Ming Tian and receiving a PhD in 2014 in Materials Science and Engineering from Beijing University of Chemical Technology, Feng Yancong joined the group of Prof. Feng Pan at the School of Advanced Materials at Peking University, and kept doing postdoctoral research as a post-doctoral fellow. Now, he is the young talent of first class in SCNU, as a post-doctoral fellow in the group of Prof. Zhou Guofu  of the South China Academy of Advanced Optoelectronics and is currently an associate professor. 

His research mainly engaged in multiscale dynamic simulations of functional polymers. He has published 28 articles in Advanced Energy Materials, Nano Energy, Chem, Nanoscale, and other periodicals.

This research is supported by the National Key R&D program of China (No.2016YFB0401501) and the National Natural Science Foundation Youth program (No. 51703070).

Thesis link:

https://www.sciencedirect.com/science/article/pii/S2211285519306925.

Translated: Yang Yi

Proofread: Edwin Baak

Reviewed: Li Jianru

 

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