Home - KAI - Kompetenzzentrum Automobil- & Industrie-Elektronik

Semiconductor Device Physics
Mechanical Characterization of Materials
Degradation Analysis & Prevention
Modeling & Simulation
Degradation Mechanisms & Lifetime Modeling
Device & System Reliability Test Concepts
Mixed Signal Design
Data Analytics & Machine Learning

KAI

KAI was founded by Infineon Technologies Austria AG in 2006 as industrial competence center, conducting public-funded research projects together with academic and industrial partners.

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Careers

We are constantly looking for talented people in the areas of semiconductor technology, component and system reliability.

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News

We are pleased to announce that a publication from the material science and simulation team could be published as open access within the ECO-solder...

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Semiconductor Device Physics

Under high temperature stress conditions, the breakage of atomic bonds may become the primary cause for macroscopic power device malfunction.

Mechanical Characterization of Materials

The mechanical behavior of modern and future power semiconductor devices is increasingly determining functionality and reliability.

Degradation Analysis & Prevention

Analysis and understanding of device degradation enables us to continuously improve the robustness of semiconductor power devices.

Modeling & Simulation

Finite Element Method is widely used in several engineering disciplines because of the tremendous increase in computer power.

Degradation Mechanisms & Lifetime Modeling

Due to the high reliability demands in power semiconductor industry, statistical analysis, modeling and predicting the device lifetime are crucial issues.

Device & System Reliability Test Concepts

Together with our partners we develop advanced methods and equipment for power semiconductor stress testing under application conditions.

Mixed Signal Design

New innovative circuit techniques, circuit concepts and verification methods allow us to continuously improve integrated circuits and robustness.

Data Analytics & Machine Learning

The complexity of data generated by semiconductor industry demands for advanced analysis methods to support decision making processes.

KAI

Careers

News

Open Access paper published in Continuum Mechanics and Thermodynamics

Research

Projects