2009
DOI: 10.1007/s10825-009-0288-9
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Modeling the effects of applied stress and wafer orientation in silicon devices: from long channel mobility physics to short channel performance

Abstract: We review our novel simulation approach to model the effects of applied stress and wafer orientation by mapping detailed dependencies of long channel physics onto short channel device conditions in Silicon NMOS and PMOS. We use kp and Monte Carlo methods to show the long channel dependencies of these effects on gate fields, doping levels, extrinsic charges, and homogeneous driving fields. Our model predicts the reduced effect of wafer orientation on short channel linear and saturation current drives due to wea… Show more

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Cited by 11 publications
(5 citation statements)
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“…the masses similarly are not affected. Similar calculations for the valence band structure in the presence of the uniaxial strain along [110] have been done by Shifren et al [86], Wang et al [87], and Kotlyar et al [88], among others.…”
Section: Compressive Strainsupporting
confidence: 71%
“…the masses similarly are not affected. Similar calculations for the valence band structure in the presence of the uniaxial strain along [110] have been done by Shifren et al [86], Wang et al [87], and Kotlyar et al [88], among others.…”
Section: Compressive Strainsupporting
confidence: 71%
“…We use the approximations of an unscreened surface roughness potential and include the Prange-Nee term. 18 Generalizing the results of Refs. 3 and 4 to the tight-binding model, we write the matrix element as…”
Section: Methodssupporting
confidence: 69%
“…The surface roughness parameters are k ¼ 3:0 nm and D ¼ 0:65 nm, which are similar to the values used by us in the modeling of hole surface channel mobility. 18 A detailed comparison with experiments is not available at present due to a large scatter in the wire data and the presence of additional charge sources of degradation, which are not included in our model. 8,9 Surface roughness scattering dominates in small wires at low gate bias.…”
Section: Resultsmentioning
confidence: 99%
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