TY - JOUR
T1 - Complex Network Representation of the Structure-Mechanical Property Relationships in Elastomers with Heterogeneous Connectivity
AU - Amamoto, Yoshifumi
AU - Kojio, Ken
AU - Takahara, Atsushi
AU - Masubuchi, Yuichi
AU - Ohnishi, Takaaki
N1 - Funding Information:
We would like to thank JSOL for their fruitful discussion of the J-OCTA software. Prof. M. Doi, Prof. T. Sakai, Dr. T. Katashima, and Dr. N. Sakumichi are acknowledged for their helpful discussions. The computer resources were partially supported based on the category of General Projects by the Research Institute for Information Technology, Kyushu University, and by the Initiative on Promotion of Supercomputing for Young or Women Researchers at the Information Technology Center from the University of Tokyo. This work is supported by the " Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures" and the "High Performance Computing Infrastructure" in Japan (Project ID: jh200016-NAH). This work was also supported by the JSPS Grant-in-Aid for Scientific Research on Innovative Areas, Discrete Geometric Analysis for Materials Design: 17H06460 (steering group), 17H06468 , 18H04483 , and 20H04644 , by a Grant-in-Aid for Scientific Research (A): 17H01152 , by the Grant-in-Aid for Scientific Research (B): 20H02800 , and by Early-Career Scientists: 18K14273 from JSPS. Y.A. acknowledges the financial support of the Grant-in-Aid for Research Fellows from JSPS ( 15J12397 ).
Funding Information:
We would like to thank JSOL for their fruitful discussion of the J-OCTA software. Prof. M. Doi, Prof. T. Sakai, Dr. T. Katashima, and Dr. N. Sakumichi are acknowledged for their helpful discussions. The computer resources were partially supported based on the category of General Projects by the Research Institute for Information Technology, Kyushu University, and by the Initiative on Promotion of Supercomputing for Young or Women Researchers at the Information Technology Center from the University of Tokyo. This work is supported by the ?Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures? and the ?High Performance Computing Infrastructure? in Japan (Project ID: jh200016-NAH). This work was also supported by the JSPS Grant-in-Aid for Scientific Research on Innovative Areas, Discrete Geometric Analysis for Materials Design: 17H06460 (steering group), 17H06468, 18H04483, and 20H04644, by a Grant-in-Aid for Scientific Research (A): 17H01152, by the Grant-in-Aid for Scientific Research (B): 20H02800, and by Early-Career Scientists: 18K14273 from JSPS. Y.A. acknowledges the financial support of the Grant-in-Aid for Research Fellows from JSPS (15J12397). Y.A. carried out the simulation, analyzed the data, and wrote the manuscript. Y.A. and T.O. designed our analytical method for elastomers based on a complex network. Y.M. and T.O. supervised the simulation and complex network, respectively. All authors discussed contributed to the interpretation of the results and commented on the manuscript. The authors declare no competing interests.
Publisher Copyright:
© 2020 The Authors
PY - 2020/11/13
Y1 - 2020/11/13
N2 - Complex network science has contributed to extracting essential parameters from network structure and has been applied in social, geographical, computer, and biological sciences. On the other hand, in materials science, some materials possess a network structure that determines their properties. Because both connectivity and spatial distance are significant factors in materials, utilizing a combined descriptor to explain their properties could be important. In this study, we demonstrate that the descriptor with both connectivity and spatial distance prior to elongations universally represented some parameters related to mechanical properties during elongation, which enabled us to interpret the role of each node. Recently, there have been significant attempts to develop new materials by methods in data science such as materials informatics. Thus, our approaches could contribute in the future to the development of materials with network structures in an interpretable manner.
AB - Complex network science has contributed to extracting essential parameters from network structure and has been applied in social, geographical, computer, and biological sciences. On the other hand, in materials science, some materials possess a network structure that determines their properties. Because both connectivity and spatial distance are significant factors in materials, utilizing a combined descriptor to explain their properties could be important. In this study, we demonstrate that the descriptor with both connectivity and spatial distance prior to elongations universally represented some parameters related to mechanical properties during elongation, which enabled us to interpret the role of each node. Recently, there have been significant attempts to develop new materials by methods in data science such as materials informatics. Thus, our approaches could contribute in the future to the development of materials with network structures in an interpretable manner.
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U2 - 10.1016/j.patter.2020.100135
DO - 10.1016/j.patter.2020.100135
M3 - Article
AN - SCOPUS:85096858296
SN - 2666-3899
VL - 1
JO - Patterns
JF - Patterns
IS - 8
M1 - 100135
ER -