Burn in Hours That Remove the Steepest Early Drift
Thermal burn-in under active electrical bias removes early non-linear drift, locking in long-term calibration stability before sensors reach the field.
Exponential Relaxation Drift
Decaying Shift
Time-dependent signal decay following thermal or mechanical stress follows an asymptotic curve toward steady state equilibrium. The occurrence of exponential relaxation drift arises from the unstacking of internal lattice strains, polymer chain relaxation or charge dissipation within sensor structures. This predictable movement causes high initial drift rates that systematically decay over time according to characteristic time constants.
The boundary of this decay profile transitions into linear background drift once internal stresses reach thermodynamic equilibrium.
Lattice Relaxation
Mechanical strain induced during packaging assembly creates micro-scale lattice distortions within sensing crystal structures or thin films. When thermal excitation provides activation energy, atom movements relieve localized stress concentrations along grain boundaries and thin film interfaces. The rate of stress relief is proportional to the remaining magnitude of non-equilibrium strain, yielding a characteristic decay curve over hours or weeks.
Environmental temperature fluctuations modify the relaxation time constant, altering the rate at which the output signal approaches its final resting value.
Correction Modeling
Mathematical modeling allows signal processing algorithms to compensate for predictable output decay. Tracking exponential relaxation drift enables firmware to subtract early-life baseline shifts based on fitted time constant parameters.
Calibration Standard
Sensor qualification procedures specify minimum settling duration before recording official baseline calibration values. Testing standards mandate that post-conditioning drift curves be evaluated to verify that time constants fall within specified manufacturing tolerances. Calibration reports document residual decay rates to confirm device readiness for precision deployment.