(1) An equivalent activation energy on the basis of which the time-to-failure distribution of a complex structure, e.g., a transistor or an integrated circuit, can be estimated.
NOTE 1 Apparent activation energy refers to the apparent shift in the time-to-failure distribution of some product as a function of temperature.
NOTE 2 The apparent activation energy is associated with a distribution of the time to failure for a given mechanism. The summation of the actual physical processes, with various possible thermal activation energies to create the mechanism, is reflected in the distribution.
(2) An equivalent energy value that can be inserted in the Arrhenius equation for reliability to calculate an acceleration factor applicable to changes with temperature of time-to-failure distributions.
NOTE 1 An apparent activation energy is often associated with a specific failure mechanism and time-to-failure distribution for calculating the acceleration factor.
NOTE 2 A composite apparent activation energy is often used to calculate a single acceleration factor, for a given time-to-failure distribution, that is equivalent to the net effect of the various thermal acceleration factors associated with multiple failure mechanisms.
NOTE 3 Various physical thermal activation energies may contribute to the shape of the time-to-failure distribution.
NOTE 4 The term "apparent" is used because Eaa is analogous in use to Ea in the Arrhenius equation; Eaa is used for a time-to-failure distribution, while Ea applies to a chemical thermal reaction rate.
(3) An activation energy that is calculated using the principles of the physical relationship between stress and failure rate but is not directly related to a basic change in physical processes.
NOTE 1 Apparent activation energy may be based on many effects that produce a cumulative result when the device is stressed. It is similar to the concept of activation energy but relates to the probability of not exceeding some measurable attribute.
NOTE 2 A plot of the reciprocal or absolute temperature (1/T(K)) versus the log of percent failed is linear for the lognormal distribution.