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Glossary

1,586 technical terms and definitions

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alloy junction 1952 position the base tab

alloy junction 1952 contact exposed n type germanium, ohmic contact schottky barrier work function, base tab keep out zone junction exclusion

Position the Base Tab: The One Contact That Isn't Supposed to Form a Junction Every metal this process has placed on the wafer so far was chosen specifically to dissolve germanium…

alloy junction 1952 high purity germanium

alloy junction 1952 prepare high purity germanium, recombination center minority carrier lifetime, indium alloy base material purity requirement

Prepare High-Purity Germanium: Why Recombination Centers, Not Just Donor Atoms, Set the Purity Bar This is the first of forty-two steps describing RCA's 1952 staged alloy-junction…

alloy junction 1952 prepare indium disks or pellets

alloy junction 1952 control purity mass dimensions surface condition, solidus liquidus indium germanium phase diagram, pellet mass germanium dissolution budget

Prepare Indium Disks or Pellets: The Solvent Is the Dopant, Not a Separate Addition to One Every grown-junction-style process introduces an acceptor dopant as a small, calculated…

alloy junction 1952 protect the base attachment during etching

alloy junction 1952 prevent contamination from tab or attachment materials, galvanic couple nickel germanium etch bath, faraday law galvanic etch depth contribution

Protect the Base Attachment During Etching: A Second Metal Changes the Chemistry Step 30's etch rate law, , assumed a single material sitting in the bath: germanium, dissolving…

alloy junction 1952 rinse and dry

alloy junction 1952 remove etchant processing residues, indium wetting contact angle surface energy, wetted fraction alloyed contact area

Rinse and Dry: Why This Etched Surface Has to Wet, Not Just Be Clean There is no junction anywhere in this wafer yet, so the mobile-ion drift that makes rinsing critical much…

alloy junction 1952 rinse and dry thoroughly

alloy junction 1952 multi cycle fresh water rinse after etching, diffusion limited clearance of trapped rinse contaminant, geometric decay residual contamination rinse cycles

Rinse and Dry Thoroughly: Why "Thoroughly" Means Repeated, Not Longer Step 9's rinse, back in Phase 1, was clearing loose particulate off a bare slice with no electrical stakes…

alloy junction 1952 select usable crystal sections

alloy junction 1952 conductivity quality requirements, measurement guard band accept threshold, resistivity structural soundness combined selection

Select Usable Crystal Sections: Why the Accept Band Has to Be Narrower Than the Spec Band Step four handed over a measured resistivity curve and a structural pass/fail — this step…

alloy junction 1952 slice the germanium

alloy junction 1952 cut thin pieces single crystal, alloy junction 1952 kerf loss wafer count, slice thickness base width upper bound

Slice the Germanium: Fixing the One Number Nothing Downstream Can Ever Exceed Unlike a cut through a grown-junction ingot, nothing about where or how this crystal gets sliced…

alloy junction 1952 solidify the residual alloy buttons

alloy junction 1952 freeze the leftover indium germanium liquid, eutectic freeze indium germanium alloy button, shrinkage void fraction alloy button solidification

Solidify the Residual Alloy Buttons: The Same Melt, Two Different Fates Every step from 20 through 27 has followed the fraction of the indium-germanium liquid sitting directly…

alloy junction 1952 verify finished slice dimensions

alloy junction 1952 thickness usable area before pellet placement, usable area map exclusion zone wafer, placement margin pellet footprint tolerance

Verify Finished Slice Dimensions: Closing Phase One With One Gate, Not Four Separate Ones Four separate steps have each quietly set their own requirement on this wafer — step…

alloy junction 1952 wet the germanium faces

alloy junction 1952 establish intimate metal semiconductor contact, capillary viscous spreading time constant, young laplace pressure trapped void wetting

Wet the Germanium Faces: Reaching Equilibrium Isn't Instant Step nine established the equilibrium condition wetting needs — a clean surface the molten metal would eventually…

alloy-junction transistor

alloy junction transistor, fused junction transistor, indium dots germanium, GE 2N107, John Saby, General Electric 1951, RCA alloy transistor

An alloy-junction transistor is a bipolar junction transistor made by melting small dots of a metal, usually indium, into opposite faces of a thin wafer of germanium so that each…

alloy junction transistor process flow

alloy-junction transistor process flow, alloy junction transistor device process flow, alloy junction transistor process, indium pellet alloying germanium, alloy junction base width control, alloy transistor yield control

Alloy-Junction Transistor Device Process Flow: Pellet Geometry, Soak-Time Kinetics & Furnace-Recipe Yield Control The alloy-junction transistor was the first transistor…

alloy scattering

device physics

Alloy Scattering is the mobility-degrading mechanism specific to semiconductor alloy channels where random atom placement creates local potential fluctuations — it penalizes…

allreduce collective communication

ring allreduce bandwidth optimal, recursive halving doubling, allreduce algorithm comparison, nccl allreduce implementation

AllReduce Collective Communication is the fundamental distributed operation that combines (reduces) values from all participating processes and distributes the result to every…

alpaca

stanford, instruction

Stanford Alpaca is the model that started the open-source instruction-tuning revolution in March 2023 — demonstrating that fine-tuning Meta's LLaMA-7B on just 52,000…

alpaca

training techniques

Alpaca is an instruction-tuned model line trained from synthetic instruction datasets derived from larger teacher models - It is a core method in modern LLM training and safety…

alpacaeval

evaluation

AlpacaEval is an automated evaluation benchmark for instruction-following language models that uses a strong LLM as judge (typically GPT-4) to compare model outputs against…

alpha-21064

alpha 21064, what is alpha 21064

Alpha 21064 was the first implementation of Digital Equipment Corporation’s Alpha architecture. Introduced in the early-1990s Alpha program, it embodied a 64-bit RISC architecture…

alpha-beta pruning

alpha beta, alpha-beta search, McCarthy 1956, Knuth and Moore 1975, move ordering, game tree pruning, principal variation search

Alpha-beta pruning is an optimization of minimax search that skips branches of a game tree once it is certain they cannot change the final decision, so that it returns exactly…

alpha current gain

alpha, common-base current gain, α, hFB, emitter-to-collector transfer ratio, point-contact alpha greater than one

Alpha (α) is the common-base current gain of a bipolar transistor: the ratio of collector current to emitter current, written α = IC / IE. Because the base steals a small slice…

alpha particle errors

soft errors, radioactive packaging impurities, memory bit flip, low-alpha materials, DRAM reliability

Alpha-particle errors are soft errors in memory chips caused specifically by alpha particles — helium nuclei emitted by the radioactive decay of trace impurities, often in…

alpha testing

internal testing, pre-beta test

Alpha testing is internal pre-release testing performed by development teams or selected internal users - Alpha phases focus on functional completeness defect discovery and core…

alphacode

code ai

AlphaCode is DeepMind's AI system designed to generate code at a competitive programming level, capable of solving novel coding problems requiring algorithmic reasoning…

alphafold

protein structure, deepmind

AlphaFold is the AI system developed by Google DeepMind that solved the 50-year grand challenge of protein structure prediction — determining a protein's precise 3D atomic…

alphafold

healthcare ai

AI-powered diagnostics uses machine learning to assist in disease detection and diagnosis — analyzing symptoms, test results, imaging, and patient history to suggest possible…

alphafold

protein structure prediction, protein folding neural network, alphafold2, esmfold, protein language model

AlphaFold is the deep learning system developed by DeepMind that predicts the three-dimensional structure of proteins from their amino acid sequence — solving a 50-year-old grand…

alphafold protein structure prediction

alphafold2 evoformer, msa multiple sequence alignment, protein folding ai, rosettafold structure prediction

AlphaFold2 Protein Structure Prediction: Evoformer Architecture and MSA Integration — revolutionizing biology via transformer-based structure prediction AlphaFold2, developed…

alphazero-self-play-search machine learning

AlphaZero Self-Play Search Introduction & Motivation AlphaZero Self-Play Search addresses a central problem in sequential decision making via deeprl: how to Learn a policy that…

als

als, recommendation systems

ALS is alternating least squares optimization for collaborative filtering with regularized matrix factorization - User and item factors are solved iteratively in closed-form…

als implicit

als, recommendation systems

ALS Implicit is alternating least-squares matrix factorization adapted for implicit-feedback recommendation data. - It learns user-item latent factors from clicks views and play…

altair

declarative, visualization

Altair: Declarative Visualization for Python Overview Altair is a statistical visualization library for Python, based on Vega-Lite. It is "Declarative", meaning you describe…

alternating psm (altpsm)

alternating psm, altpsm, lithography

Alternating Phase-Shift Mask (AltPSM) is an advanced photomask technology where adjacent clear features transmit light with opposite phases (0° and 180°), creating destructive…

alternative chemistries

environmental & sustainability

Alternative Chemistries is replacement of conventional process chemicals with lower-impact options that maintain technical performance - It supports decarbonization, toxicity…

alternative hypothesis

one-tailed vs two-tailed test, statistical vs practical significance, A/B testing hypothesis

The alternative hypothesis is the claim a hypothesis test is actually designed to find evidence for — typically that a real effect, difference, or relationship exists, directly…

altitude oxygen partial pressure reliability prediction machine learning

altitude oxygen partial pressure reliability prediction, altitude oxygen partial, oxygen partial pressure, partial pressure reliability, altitude oxygen

Altitude Oxygen Partial Pressure Reliability Prediction with Machine Learning Introduction & Motivation Altitude Oxygen Partial Pressure Reliability Prediction with Machine…

altitude pressure compensation model machine learning

developing altitude and pressure compensation models, developing altitude pressure, altitude pressure compensation, pressure compensation models, developing altitude, altitude pressure

Developing altitude and pressure compensation models Introduction & Motivation Developing altitude and pressure compensation models addresses a central problem in Environmental /…

altitude pressure test failure prediction machine learning

altitude pressure test failure prediction, altitude pressure test, pressure test failure, test failure prediction, altitude pressure, pressure test, test failure, failure prediction

Altitude Pressure Test Failure Prediction with Machine Learning Introduction & Motivation Altitude Pressure Test Failure Prediction with Machine Learning addresses a central…

aluminum

aluminium, Al

Aluminum (Al) Al is the chemical symbol for aluminum, a conductor used in many interconnect and pad schemes. Connect the name to its role Document whether this film is a target…

aluminum barrier layer adhesion prediction machine learning

aluminum barrier layer adhesion prediction, aluminum barrier layer, barrier layer adhesion, layer adhesion prediction, aluminum barrier, barrier layer, layer adhesion

Aluminum Barrier Layer Adhesion Prediction with Machine Learning Introduction & Motivation Aluminum Barrier Layer Adhesion Prediction with Machine Learning addresses a central…

aluminum electrolytic capacitor aging prediction machine learning

aluminum electrolytic capacitor aging prediction, aluminum electrolytic capacitor, electrolytic capacitor aging, capacitor aging prediction, aluminum electrolytic

Aluminum Electrolytic Capacitor Aging Prediction with Machine Learning Introduction & Motivation Aluminum Electrolytic Capacitor Aging Prediction with Machine Learning addresses…

aluminum etch

al metal etch, aluminum metal etch modeling, al etch modeling, aluminum chlorine etch, alcl3, metal etch plasma, aluminum plasma etch, bcl3 etch

Aluminum etch is a coupled surface-chemistry, ion-transport, heat-transfer, and residue-control process in which clearing the metal is only half the job: a successful recipe must…

aluminum nitride piezoelectric mems resonator drift prediction machine learning

aluminum nitride piezoelectric mems resonator drift prediction, aluminum nitride piezoelectric, nitride piezoelectric mems, piezoelectric mems resonator

Aluminum Nitride Piezoelectric MEMS Resonator Drift Prediction with Machine Learning Introduction & Motivation Aluminum Nitride Piezoelectric MEMS Resonator Drift Prediction…

aluminum nitride substrate thermal conductivity prediction machine learning

aluminum nitride substrate thermal conductivity prediction, aluminum nitride substrate, nitride substrate thermal, substrate thermal conductivity, aluminum nitride

Aluminum Nitride Substrate Thermal Conductivity Prediction with Machine Learning Introduction & Motivation Aluminum Nitride Substrate Thermal Conductivity Prediction with Machine…

aluminum wire bond heel crack prediction machine learning

aluminum wire bond heel crack prediction, aluminum wire bond, wire bond heel, bond heel crack, heel crack prediction, aluminum wire, wire bond, bond heel, heel crack, crack prediction

Aluminum Wire Bond Heel Crack Prediction with Machine Learning Introduction & Motivation Aluminum Wire Bond Heel Crack Prediction with Machine Learning addresses a central problem…

aluminum wire bonding

al bonding, wedge bonding

Aluminum Wire Bonding uses aluminum wire (typically 25-50μm diameter) for interconnecting die to package leads, favored for power devices and specific reliability requirements.…

always-on domain

design

An always-on domain is a power domain that remains continuously powered and never shuts down — providing essential infrastructure services (control, monitoring, wake-up logic)…

amazon lex

aws chatbot, conversational ai

Amazon Lex is an AWS conversational AI service for building chatbots and voice assistants — using deep learning for natural language understanding (NLU) and automatic speech…