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  • 标题:Deep Learning Method to Accelerate Discovery of Hybrid Polymer-Graphene Composites
  • 本地全文:下载
  • 作者:Farzaneh Shayeganfar ; Rouzbeh Shahsavari
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2021
  • 卷号:11
  • DOI:10.1038/s41598-021-94085-9
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:Interfacial encoded properties of polymer adlayers adsorbed on the graphene (GE) and silicon dioxide (SiO 2) have been constituted a scaffold for the creation of new materials. The holistic understanding of nanoscale intermolecular interaction of 1D/2D polymer assemblies on substrate is the key to bottom-up design of molecular devices. We develop an integrated multidisciplinary approach based on electronic structure computation [density functional theory (DFT)
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