Fan
Qu
ab,
Wei
Sun
ab,
Bin
Li
c,
Fanzhu
Li
ab,
Yangyang
Gao
*ab,
Xiuying
Zhao
*ab and
Liqun
Zhang
*ab
aState Key Laboratory of Organic–Inorganic Composites, Beijing University of Chemical Technology, People's Republic of China. E-mail: gaoyy@mail.buct.edu.cn; zhaoxy@mail.buct.edu.cn; zhanglq@mail.buct.edu.cn
bKey Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing University of Chemical Technology, People's Republic of China
cSchool of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China
First published on 5th January 2021
Correction for ‘Synergistic effect in improving the electrical conductivity in polymer nanocomposites by mixing spherical and rod-shaped fillers’ by Fan Qu et al., Soft Matter, 2020, 16, 10454–10462, DOI: 10.1039/D0SM00993H.
(1) The adopted simulation model is the same in these works. Thus, the content in describing the relationship between the simulation model and experiments is similar. (2) Some calculation parameters (such as the conductive network or probability, the maximum cluster size, the number of clusters, shear field, orientation degree of fillers) are the same in these works. Thus, the content describing these parameters is similar. However, the research questions are different. The work in ref. 1 focuses on the effect of the polydispersity index of nanorods on the conductive network of polymer nanocomposites (PNCs) which can better reflect the real case. The work in ref. 2 focuses on the effect of the nanoparticle shape (PNCs) on the conductive network which can help to choose the suitable nanoparticle shape. The work in ref. 3 focuses on how to use diblock copolymers to tune the conductible network which can obtain the lowest percolation threshold, especially anisotropic PNCs. However, the current work focuses on the synergistic or antagonistic effect of two kinds of different nanoparticles which are still not understood well in experiments.
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