학술논문

Investigation of the Statistical Spread of the Time-Dependent Dielectric Breakdown in Polymeric Dielectrics for Galvanic Isolation
Document Type
Conference
Source
2022 IEEE Latin American Electron Devices Conference (LAEDC) Electron Devices Conference (LAEDC), 2022 IEEE Latin American. :1-4 Jul, 2022
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Degradation
Performance evaluation
Nonuniform electric fields
Monte Carlo methods
Materials reliability
Dielectrics
Dielectric breakdown
Time-Dependent Dielectric Breakdown (TDDB)
dielectric reliability
TDDB variability
percolation
Language
Abstract
We present a study of the statistical spread of the Time-Dependent Dielectric Breakdown (TDDB) in thick (>10 μm) polymeric dielectrics for galvanic isolation devices. By performing Monte Carlo simulations based on a thermochemical percolative model, we demonstrate, first of all, that in the case of a homogeneous dielectric the intrinsic TDDB spread arising from the statistics of local degradation of the material and percolative conduction across its entire thickness is negligible with respect to what typically observed experimentally. The experimental TDDB spread is, then, reproduced in the modeling framework by introducing inhomogeneities in the local material properties, giving rise to additional variability in the degradation dynamics leading to device breakdown. This approach is, finally, shown to be capable to explain the dependence of the TDDB spread on the magnitude of the electric field stressing the device.