Surface Energy Measurement
metrology
Surface Energy Measurement is the quantification of the total intermolecular forces acting at a solid surface by decomposing the surface free energy into its dispersive (van der…
3,533 technical terms and definitions
metrology
Surface Energy Measurement is the quantification of the total intermolecular forces acting at a solid surface by decomposing the surface free energy into its dispersive (van der…
sers, surface enhanced raman scattering, sers spectroscopy, sers enhancement factor, plasmonic raman spectroscopy, sers metrology
A trace residue can produce a spectacular Raman spectrum on one silver nanoparticle junction and disappear a micrometer away, even though the average surface concentration is…
smt, packaging
Surface mount technology is the electronics assembly method where components are mounted directly onto PCB surface pads without through-hole insertion - it is the dominant…
spv, metrology
Surface Photovoltage (SPV) is a non-contact, non-destructive optical metrology technique that measures minority carrier diffusion length and bulk iron concentration in silicon…
sps, metrology
Surface photovoltage spectroscopy (SPS) measures illumination-induced contact potential difference (CPD) change as a function of photon energy. Unlike optical absorption, which…
rca clean, wafer cleaning, surface preparation, sc-1, sc-2, piranha clean, marangoni drying, pre-epi, sc1 sc2, hf last, native oxide, pre-gate, ozone clean
RCA cleaning and advanced semiconductor surface preparation constitute the sequential wet chemical and physical processes engineered to remove organic residues, sub-micron…
advanced packaging
Surface Preparation for Bonding is the critical set of cleaning, planarization, and activation steps that determine whether wafer bonding succeeds or fails — because direct…
metrology
Surface Roughness Measurement in semiconductor manufacturing is the quantitative characterization of surface height variations at various spatial scales — using a combination…
surface roughness metrology drift prediction machine learning, surface roughness, metrology drift prediction, surface roughness metrology drift prediction, metrology drift
Surface Roughness Metrology Drift Prediction with Machine Learning Introduction & Motivation Surface Roughness Metrology Drift Prediction with Machine Learning addresses a central…
metamodel chip design, response surface methodology, kriging surrogate eda, model based optimization
Surrogate Modeling for Optimization is the technique of constructing fast-to-evaluate approximations (surrogates or metamodels) of expensive chip design objectives and constraints…
wafer susceptor, cvd susceptor, epitaxial susceptor, graphite susceptor
The wafer susceptor serves as the primary thermal reservoir, mechanical support, and gas-dynamic substrate holder in semiconductor chemical vapor deposition (CVD), metal-organic…
synchrotron x-ray metrology, synchrotron radiation methods, synchrotron semiconductor characterization, synchrotron beamline techniques, coherent x-ray methods, operando synchrotron x-ray
Synchrotron X-ray techniques use radiation emitted by relativistic electrons circulating through magnetic structures and delivered to specialized beamlines. Compared with a fixed…
system-in-package, SiP, multichip module, heterogeneous package
System in package. integrates multiple semiconductor dies and often passives, sensors, filters, antennas, or power devices inside one package boundary. Unlike a monolithic system…
logic design predicting defect propagation in system-on-chip (soc) integration from module-level data, logic design predicting, design predicting defect, predicting defect propagation
Logic Design: Predicting defect propagation in system-on-chip (SoC) integration from module-level data Introduction & Motivation Logic Design: Predicting defect propagation…
system-on-chip power budget breakdown prediction, system-on-chip power budget, power budget breakdown, budget breakdown prediction, system-on-chip power, power budget
System-on-Chip Power Budget Breakdown Prediction with Machine Learning Introduction & Motivation System-on-Chip Power Budget Breakdown Prediction with Machine Learning addresses…
soc, system-on-chip, heterogeneous soc, cpu gpu npu soc, soc architecture, soc design
System on chip integrates processors, accelerators, memory control, interconnect, security, I/O and often analog or RF functions on one die or tightly coupled package. SoCs…
metrology
Systematic defects are repeating, predictable defect patterns — caused by process issues, equipment problems, or design weaknesses that create consistent failures, as opposed…
metrology
Spectroscopic ellipsometry and inline optical wafer metrology constitute the non-destructive physical measurement and defect detection disciplines that govern yield control across…
tape and reel packaging quality and pull force prediction with machine learning, tape reel packaging quality pull force prediction machine learning, tape reel
Tape and Reel Packaging Quality and Pull-Force Prediction with Machine Learning Introduction & Motivation Tape and Reel Packaging Quality and Pull-Force Prediction with Machine…
gdsii, foundry, sign-off, verification, fabrication
Tape-out is the moment a completed chip layout leaves the design team and becomes a manufacturing order at the foundry. It is a technical checkpoint and a business commitment.…
packaging
Tape width is the overall width of carrier tape used to package electronic components for feeder compatibility and pocket sizing - it determines which feeder hardware can run…
tapeout signoff, gdsii signoff, chip tapeout flow, final signoff checklist
Tapeout Methodology and Signoff is the rigorous multi-step verification and validation process that a chip design must pass before the final GDS-II layout data is released to…
tarc, top arc, top anti-reflective coating, top antireflective coating, swing curve suppression, immersion topcoat, lithography
Top anti-reflective coating is a thin, transparent fluoropolymer or water-soluble organic film applied directly onto the top surface of a photoresist layer prior to lithographic…
technology cad, sentaurus, silvaco, scharfetter gummel, mesh convergence, band gap narrowing, tcad calibration, device tcad, process tcad, tcad modeling, semiconductor device modeling
Technology computer-aided design solves the semiconductor device equations — Poisson's equation coupled to the electron and hole continuity equations — on a discrete mesh, and its…
tem, transmission electron microscopy, metrology
Transmission electron microscopy (TEM) provides sub-angstrom resolution imaging of semiconductor device cross-sections, enabling atomic-level characterization of transistor…
high-temperature bake, packaging, thermal process
High-temperature bake is the shorter-duration moisture-removal process using elevated temperatures for rapid drying of qualified packages - it is used when components and carriers…
on die thermal sensor, thermal diode, thermal management chip, pvt monitor
On-Die Temperature Sensors and PVT Monitors are the integrated measurement circuits distributed across the chip that continuously monitor die temperature, supply voltage…
advanced packaging
Temporary Bonding is a reversible wafer bonding process that attaches a device wafer to a rigid carrier wafer using a removable adhesive — providing mechanical support during…
advanced packaging
Temporary bonding for thinning is the process of attaching a device wafer to a carrier substrate with a removable adhesive to support ultra-thin backside processing - it enables…
tetraethyl orthosilicate, teos cvd deposition, pecvd teos film, teos gap fill, teos etch rate
TEOS-Based Silicon Dioxide Deposition is the use of tetraethyl orthosilicate (Si(OC₂H₅)₄) as a precursor gas for low-pressure CVD (LPCVD) or plasma-enhanced CVD (PECVD) oxide…
teos deposition uniformity drift prediction machine learning, teos deposition, uniformity drift prediction, cmp pecvd rf teos, teos deposition uniformity drift prediction
TEOS Deposition Uniformity Drift Prediction with Machine Learning Introduction & Motivation TEOS Deposition Uniformity Drift Prediction with Machine Learning addresses a central…
THz ellipsometry, terahertz time-domain ellipsometry, THz-TDE, terahertz spectroscopic ellipsometry, magneto-terahertz ellipsometry, terahertz conductivity metrology
Terahertz ellipsometry measures polarization change at frequencies where mobile carriers, soft lattice modes, collective excitations, and low-energy dielectric relaxation can…
thz transistor cutoff frequency, thz gap detector emitter, thz imaging spectroscopy, inp gaas thz
Wide bandgap (WBG) power semiconductors, gallium nitride (GaN) High-Electron-Mobility Transistors (HEMT), and silicon carbide (4H-SiC) power MOSFETs constitute the foundational…
test, can you test, testing services, wafer sort, final test
Testing is how a fab proves a chip actually works before it ships — and critically, it happens twice, at two very different stages, because catching a bad die early is far cheaper…
thermal simulation, junction temperature, thermal hotspot, chip thermal design
Chip Thermal Analysis is the simulation and modeling of heat generation and dissipation across a chip to identify thermal hotspots, validate junction temperature limits…
thermal simulation IC, hotspot analysis, thermal aware placement
Thermal Analysis in Chip Design is the simulation and optimization of temperature distribution across an IC die under realistic workloads, identifying hotspots causing timing…
thermal floorplan, hotspot mitigation, on chip thermal, thermal analysis chip
Thermal-Aware Physical Design is the floorplanning and placement methodology that considers heat generation and dissipation during chip layout to prevent thermal hotspots that…
thermal hotspot mitigation, thermal analysis placement, power density thermal, on-chip temperature sensor
Thermal-Aware Physical Design is the IC design methodology that considers temperature distribution during placement, routing, and floorplanning — mitigating thermal hotspots…
thermal hotspot mitigation, thermal driven placement, thermal analysis physical design, on chip temperature estimation
Thermal-Aware Physical Design is the methodology of incorporating thermal analysis and optimization into the physical implementation flow to prevent excessive on-chip temperatures…
thermal chemical vapor deposition, thermally activated cvd, pyrolytic cvd, heat-driven cvd, heat driven cvd, hot-wall cvd, cold-wall cvd, thermal deposition, cvd
Thermal chemical vapor deposition (thermal CVD) uses substrate and reactor heat—rather than plasma bombardment—to activate gas-phase precursors and form a solid film at…
resistive evaporation, boat evaporation, filament evaporation, evaporation source, evaporation rate control, hertz-knudsen, vapor pressure deposition, alloy fractionation, crucible contamination, lift-off metallization, knudsen cell, pvd
Thermal evaporation is the only deposition technique in a fab where the operator does not set the deposition rate — the operator sets a temperature, and the rate is whatever…
tim, thermal paste, heat spreader, chip thermal resistance, junction to case resistance
Thermal Interface Materials (TIMs) and Heat Spreading is the thermal management technology that fills the microscopic air gaps between heat-generating semiconductor dies and heat…
heat dissipation stacked dies, tsv thermal resistance, microfluidic cooling semiconductor, thermal interface material chiplet, 3d ic cooling challenges
Thermal management is the problem 3D-stacked chiplets create by solving the interconnect-distance problem so well, and it's the one packaging challenge every earlier entry in this…
thermal interface material tim, hotspot cooling die, 3d ic thermal challenge, heat spreader lid design
Advanced packaging is the set of technologies that connect, protect and cool silicon after it leaves the fab. It has moved from a cost-driven back-end afterthought to a primary…
chip cooling, liquid cooling, thermal interface material, heat spreader, thermal management in 3d
thermal management is the engineering of heat flow from active junctions to ambient or coolant so temperature remains within performance and reliability limits. AI accelerators…
hotspot mitigation, chip thermal design, thermal interface material, semiconductor heat dissipation
Thermal Management in Semiconductors is the engineering discipline of controlling heat generated by transistor switching and interconnect resistance — ensuring junction…
junction temperature measurement, thermal resistance, heat spreader design, thermal interface material
Thermal Management is the engineering discipline that controls heat generation and dissipation in semiconductor devices — using thermal interface materials, heat spreaders, heat…
thermal resistance chip-to-case prediction, thermal resistance chip-to-case, resistance chip-to-case prediction, thermal resistance, resistance chip-to-case
Thermal Resistance Chip-to-Case Prediction with Machine Learning Introduction & Motivation Thermal Resistance Chip-to-Case Prediction with Machine Learning addresses a central…
bjt temperature sensor, ring oscillator temperature, thermal management circuit, dtm dynamic thermal management
Thermal Sensor and Management Circuits are on-chip temperature measurement and control systems that monitor junction temperature at multiple die locations and trigger throttling…
advanced packaging
Thermal Slide Debonding is a wafer separation technique that softens a thermoplastic adhesive by heating and then slides the carrier wafer horizontally off the device wafer…