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题名

Predictive modeling of dielectric properties in crosslinked polyphenylene oxide systems: Molecular dynamics simulations and experimental validation

作者
通讯作者Wang, Ke
发表日期
2024-07-01
DOI
发表期刊
ISSN
0032-3888
EISSN
1548-2634
摘要
["In high-frequency applications such as 5G-6G communication, internet of things, automotive radar, and automated driver-assistance systems, substrate materials excel as insulating layers owing to their superior dielectric properties. However, traditional methods for material development are often laborious and costly. To overcome these limitations, we employed molecular dynamics (MD) simulations to predict the dielectric properties of these materials at frequencies exceeding 107 Hz. Specifically, we selected thermosetting polyphenylene oxide (m-PPO) as the resin matrix and combined it with three crosslinking agents, respectively: triallyl cyanurate, triallyl isocyanurate, and trimethylallyl isocyanurate. Our overarching goal is to provide comprehensive insights into the development and enhancement of materials critical for high-frequency electronic devices. We anticipate that this methodology will be widely adopted for the development of advanced substrate materials across various applications, with the objective of effectively screening crosslinkers.Highlights Developed a simulation method to efficiently explore material scenarios for high-frequency applications. Studied the dielectric properties of m-PPO combined with three crosslinking agents at high frequencies. Successfully predicted dielectric properties using MD simulations.","Molecular dynamics simulations predict optimized dielectric properties of m-PPO resin matrix combined with three crosslinking agents, crucial for stable signal transmission at high frequencies. image"]
关键词
相关链接[来源记录]
收录类别
SCI ; EI
语种
英语
学校署名
第一 ; 通讯
资助项目
National Natural Science Foundation of China[62374080] ; Department of Science and Technology of Shandong Province[ZR2021LFG011] ; Shenzhen Science and Innovation Committee[ZDSYS20220527171404011] ; Department of Science and Technology of Guangdong Province[2023B0101020004]
WOS研究方向
Engineering ; Polymer Science
WOS类目
Engineering, Chemical ; Polymer Science
WOS记录号
WOS:001275483100001
出版者
ESI学科分类
CHEMISTRY
来源库
Web of Science
引用统计
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/789993
专题工学院_系统设计与智能制造学院
南方科技大学
作者单位
1.Southern Univ Sci & Technol, Shenzhen Key Lab Intelligent Mfg Continuous Carbon, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen, Peoples R China
3.Shengyi Technol Co Ltd, Natl Engn Res Ctr Elect Circuits Base Mat, Dongguan, Peoples R China
4.Hong Kong Univ Sci & Technol, Coll Future Technol, Guangzhou, Peoples R China
第一作者单位南方科技大学;  系统设计与智能制造学院
通讯作者单位南方科技大学;  系统设计与智能制造学院
第一作者的第一单位南方科技大学
推荐引用方式
GB/T 7714
Wu, Xiaowei,Fang, Zeming,Zhu, Xiaotao,et al. Predictive modeling of dielectric properties in crosslinked polyphenylene oxide systems: Molecular dynamics simulations and experimental validation[J]. POLYMER ENGINEERING AND SCIENCE,2024.
APA
Wu, Xiaowei.,Fang, Zeming.,Zhu, Xiaotao.,Luo, Cheng.,Li, Dan.,...&Wang, Ke.(2024).Predictive modeling of dielectric properties in crosslinked polyphenylene oxide systems: Molecular dynamics simulations and experimental validation.POLYMER ENGINEERING AND SCIENCE.
MLA
Wu, Xiaowei,et al."Predictive modeling of dielectric properties in crosslinked polyphenylene oxide systems: Molecular dynamics simulations and experimental validation".POLYMER ENGINEERING AND SCIENCE (2024).
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