0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThe development of advanced electrical equipment necessitates polymer dielectrics with a higher electric strength. Unfortunately, this bottleneck problem has yet to be solved because current material modification methods do not allow direct control of deep traps. Here, we propose a method for directly passivating deep traps. Measurements of nanoscale microregion charge characteristics and trap parameters reveal a significant reduction in the number of deep traps. The resulting polymer dielectric has an impressively high electrical strength, less surface charge accumulation, and a significantly increased flashover voltage and breakdown strength. In addition, the energy storage density is increased without sacrificing the charge–discharge efficiency. This reveals a new approach to increasing the energy storage density by reducing the trap energy levels at the electrode–dielectric interface. We further calculated and analyzed the microscopic physical mechanism of deep trap passivation based on density functional theory and characterized the contributions of orbital composition and orbital hybridization.
Guixin Zhang, Jianbo Liu, Zhi‐Min Dang, Zhong Lin Wang, Tianyu Wang, Xiao‐Fen Li, Ziyao Jie, Baixin Liu (2023). Polymer Dielectrics with Outstanding Dielectric Characteristics via Passivation with Oxygen Atoms through C–F Vacancy Carbonylation. , 23(18), DOI: https://doi.org/10.1021/acs.nanolett.3c01987.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2023
Authors
8
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1021/acs.nanolett.3c01987
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access