Molding compounds (MCs) are widely used as an encapsulation material for integrated circuits; however, traditional MCs are susceptible to moisture and charge spreading over time. The increase in dissipation factor due to the increase of parasitic electrical conductivity ( $sigma$ ) and the decrease in dielectric strength $(E_{mathrm {MC}}^{mathrm {Crit}})$ restrict their applications. Thus, a fundamental understanding of moisture transport as a function of MC parameters is essential to suppress moisture diffusion and broaden their applications. In this article, we: 1) propose a generalized effective medium and solubility (GEMS) Langmuir model by identifying a set of parameters that control water uptake as a function of filler configuration and relative humidity; 2) investigate the dominant impact of reacted-water on $sigma $ through numerical simulations, mass-uptake, and dc conductivity measurements; 3) investigate electric field distribution to explain how moisture ingress reduces $E_{mathrm {MC}}^{mathrm {Crit}}$ ; and finally 4) optimize the filler configuration to lower the dissipation factor, and enhance $E_{mathrm {MC}}^{mathrm {Crit}}$. The GEMS-Langmuir model can be used for any application (e.g., photovoltaics, biosensors) where moisture ingress leads to reliability challenges.

Effects of Filler Configuration and Moisture on Dissipation Factor and Critical Electric Field of Epoxy Composites for HV-ICs Encapsulation

Cornigli D.;Reggiani S.;
2020

Abstract

Molding compounds (MCs) are widely used as an encapsulation material for integrated circuits; however, traditional MCs are susceptible to moisture and charge spreading over time. The increase in dissipation factor due to the increase of parasitic electrical conductivity ( $sigma$ ) and the decrease in dielectric strength $(E_{mathrm {MC}}^{mathrm {Crit}})$ restrict their applications. Thus, a fundamental understanding of moisture transport as a function of MC parameters is essential to suppress moisture diffusion and broaden their applications. In this article, we: 1) propose a generalized effective medium and solubility (GEMS) Langmuir model by identifying a set of parameters that control water uptake as a function of filler configuration and relative humidity; 2) investigate the dominant impact of reacted-water on $sigma $ through numerical simulations, mass-uptake, and dc conductivity measurements; 3) investigate electric field distribution to explain how moisture ingress reduces $E_{mathrm {MC}}^{mathrm {Crit}}$ ; and finally 4) optimize the filler configuration to lower the dissipation factor, and enhance $E_{mathrm {MC}}^{mathrm {Crit}}$. The GEMS-Langmuir model can be used for any application (e.g., photovoltaics, biosensors) where moisture ingress leads to reliability challenges.
Ahn W.; Cornigli D.; Varghese D.; Nguyen L.; Krishnan S.; Reggiani S.; Alam M.A.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/804092
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