Interval support vector regression enables high-throughput machine learning predictions for dielectric constant of polymer dielectrics
Author:
Affiliation:
1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong 518055, China
2. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, China
Funder
National Natural Science Foundation of China
Guangdong Basic and Applied Basic Research Foundation
Publisher
AIP Publishing
Subject
Physics and Astronomy (miscellaneous)
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0046854
Reference24 articles.
1. An all-polymer charge storage device
2. Enhanced breakdown strength of poly(vinylidene fluoride) utilizing rubber nanoparticles for energy storage application
3. High-field deformation of elastomeric dielectrics for actuators
4. A DC-Bus Capacitor Discharge Strategy for PMSM Drive System With Large Inertia and Small System Safe Current in EVs
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