sigma level, spc
Process capability in standard deviations.
9,967 technical terms and definitions
Process capability in standard deviations.
Signal integrity simulation predicts waveform quality analyzing distortion jitter and crosstalk.
Maintaining signal quality during transmission.
Metric for robustness.
Signal-to-noise ratios measure robustness by comparing target signal to variation.
Ratio of signal to noise.
Identify characteristic failure patterns.
Signature analysis identifies characteristic spatial patterns in wafer maps corresponding to specific defect types.
Use path signatures for sequence modeling.
Signed distance functions implicitly represent surfaces as zero level sets of distance fields.
Distance to surface.
Represent shapes as distance to surface.
Significance levels specify Type I error probability for hypothesis testing.
Silhouette scores measure clustering quality for individual observations.
Unwanted silicide breakup at high temperature.
Unintended silicide connecting features.
React metal with silicon for low resistance.
Silicidation forms low-resistance metal silicide on source drain and gate regions through reaction between metal and silicon.
Thyristor-based ESD protection.
Alloy of Si and Ge for high-performance transistors.
Silicon substrate connecting multiple dies.
Silicon interposers use semiconductor substrate enabling fine-pitch routing between dies.
Tensile stress for nFETs.
Silicon layer on insulator.
Most common wafer orientation.
Alternative orientation.
Another orientation.
Silicone causing issues.
Silver recovery from photographic and plating processes reclaims precious metal.
Conductive die attach.
Train in simulation then deploy to real robot.
Attention without additional parameters.
Contrastive learning framework using data augmentation for visual representations.
Preserve pairwise similarities.
Simple masked image modeling.
Simple masked image modeling.
Create SOI by oxygen implantation.
Simple Heterogeneous Graph Network efficiently processes heterogeneous graphs through relation-aware message passing.
Simpler is better. Reduce prompt complexity, model size, system components. Easier to debug and maintain.
Depth profile of elemental composition by sputtering and analyzing ions.
Simple Siamese network for self-supervised learning.
Global optimization technique.
Simulation generates synthetic training data. Game engines, physics sims create diverse scenarios for robotics, vision.
Simulation generates synthetic training data. Sim-to-real gap is challenge. Domain randomization helps.
Build map while tracking position.
Noise from many signals switching together.
One row of pins.
Component whose failure stops production.
Single sampling makes accept-reject decisions based on single sample from lot.
Single source risk arises from dependence on one supplier for critical materials or components creating vulnerability to supply disruptions.