What is the Arrhenius model for semiconductor reliability and how do I use it for lifetime prediction?
Arrhenius Reliability Model
The Arrhenius model is the cornerstone of semiconductor reliability engineering, used by every major RF device manufacturer to qualify devices and predict lifetimes.
Limitations and Caveats
(1) Single failure mechanism assumption: the Arrhenius model assumes one dominant failure mechanism with a single activation energy. If multiple mechanisms are present with different E_a values: at high temperatures, the mechanism with the lowest E_a may dominate. At low temperatures, a different mechanism may dominate. The effective E_a changes with temperature, making the extrapolation less accurate. (2) Minimum test conditions: the accelerated test must be at temperatures high enough to activate the failure mechanism but low enough to avoid introducing new mechanisms that do not occur at operating temperature. Rule of thumb: test temperature should not exceed T_j_max + 50°C. (3) Statistics: the Arrhenius model gives the MTTF (median or mean time to failure). The actual failure times follow a distribution (typically lognormal for semiconductors). The MTTF is the 50th percentile. For a reliability requirement of 0.1% failure rate: use the 0.1th percentile of the failure distribution, which is typically 3-5× shorter than the MTTF.
AF = exp[E_a/k_B·(1/T₁ - 1/T₂)]
GaN E_a = 1.6-2.0 eV
GaAs E_a = 1.2-1.6 eV
AF = 7490 (250°C→150°C for GaN)
Frequently Asked Questions
How do manufacturers determine E_a?
Multi-temperature accelerated life testing: run life tests at 3 or more elevated temperatures (e.g., 200°C, 250°C, 300°C for GaN). Measure the time-to-failure at each temperature. Plot ln(MTTF) vs 1/T (Arrhenius plot). The slope of the line = E_a / k_B. The y-intercept gives ln(A). A straight line confirms the Arrhenius model is valid (a curved line indicates multi-mechanism behavior). Sample size: typically 20+ devices per temperature level.
Can I use the Arrhenius model for non-temperature failures?
The Arrhenius model is specifically for thermally activated failure mechanisms. For other stress types: voltage stress: use the inverse power law (MTTF ∝ V^(-n)). Humidity: use the Peck model (MTTF ∝ RH^(-m) × exp(E_a/(k_B×T))). Thermal cycling: use the Coffin-Manson model (cycles to failure ∝ ΔT^(-n)). Vibration: use the SN curve approach (cycles to failure vs stress amplitude). Combined stresses: multiply the individual acceleration factors.
What is Eyring model?
The Eyring model is an extension of the Arrhenius model that includes non-thermal stress factors: MTTF = A × T × exp(E_a/(k_B×T)) × f(S₁, S₂, ...). Where S₁, S₂ are additional stress variables (voltage, humidity, current). The Eyring model is more physically accurate than Arrhenius (it accounts for the temperature dependence of the pre-exponential factor) but is rarely used in practice because the additional complexity provides little improvement in prediction accuracy for most RF failure mechanisms.