scanning tunneling microscope (stm),scanning tunneling microscope,stm,metrology
Atomic-resolution surface imaging.
1,106 technical terms and definitions
Atomic-resolution surface imaging.
Scatter plots show relationships between two variables identifying correlations.
Type of SRAF between main features.
Model electron/hole scattering events.
Optical CD using diffraction patterns.
Use scatterometry for overlay measurement.
Analyze diffraction pattern from periodic structures to extract CD profile.
Separate scene into constituent parts.
3D motion field estimation.
Estimate 3D motion in scenes.
Create structured scene representations.
Extract scene graphs from images.
Parse and interpret 3D scenes.
Schedule performance index compares earned value to planned value.
Planned downtime for PM.
Planned vs unexpected unavailability.
Force outputs to match predefined schema.
Schema validation verifies generated structured data matches specifications.
Continuous-filter equivariant network for molecules.
SchNet uses continuous-filter convolutions on interatomic distances with rotationally invariant features for quantum chemistry predictions.
Barrier reduction under applied field.
Energy barrier at metal-semiconductor contact.
Pair of vacancies in compound.
SciBERT is scientific paper BERT. Computer science and biomedical.
Science-based targets align emissions reductions with climate science to limit global warming.
ML for scientific computing.
Scikit-learn is classical ML library. Preprocessing, models, metrics.
SciPy provides scientific computing. Optimization, statistics, signal.
Entailment from science questions.
Scope 1 emissions are direct greenhouse gas emissions from fab operations including process gases combustion and fugitive emissions.
Scope 2 emissions are indirect emissions from purchased electricity steam heating and cooling consumed by fab operations.
Scope 3 emissions include indirect supply chain emissions from materials transportation business travel and product use.
Optimize 3D with 2D diffusion.
Score distillation sampling uses diffusion model gradients to optimize 3D representations.
Train by matching score functions.
Score matching trains energy-based models by matching the gradient of model log-density to data log-density without partition function.
Train by matching data scores.
Score plots visualize observations in principal component space.
Unified framework connecting scores and diffusion.
Generate by learning score function.
Generate CAMs without gradients.
Evaluate quality of docking poses.
Scrap decisions remove defective wafers from production flow.
Percentage of wafers discarded.
Non-product wafer used for testing or qualification.
Discard non-conforming material.
Scratch defects appear as linear patterns on wafer maps from handling or process damage.
Let model show intermediate work.
Scree plots show eigenvalue magnitudes helping select principal components.
Identify important factors from many candidates.