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Two types of surface subsurface functions, namely linear models and random forests, that estimate subsurface property values from surface values and landscape covariates were first calibrated over the set of legacy measured profiles.
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In addition, unlike silicon, glasses with different compositions have different surface and subsurface properties [25].
Defects and heterogeneities degrade the strength of glass with different surface and subsurface properties.
Increase in the distance between the electrodes leads to the greater depth penetration and gives information about more subsurface properties.
Fig. 1 Schematic representation of the strength improvement in various glasses that exhibit different surface and subsurface properties.
This study investigates nanostructure-based strength improvement of glass substrates with different compositions, which have different surface and subsurface properties.
An accurate characterization of subsurface properties is essential to understand machining induced surface integrity.
In detail, the cleaning processes lead to changes in subsurface properties of the substrate.
However, observing subsurface properties, and understanding how they control flow pathways, remains challenging.
Near-surface geophysical techniques such as electromagnetic induction (EMI), which describes subsurface properties non-invasively by measuring soil apparent conductivity (ECa), may be one source of this information.
In this method the model domain is divided into zones of piecewise constant into which the values of subsurface properties are assigned in the parameterisation step.
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