transition metal dichalcogenides, research
2D semiconductor materials.
9,967 technical terms and definitions
2D semiconductor materials.
Transition-based parsing builds parse trees through sequences of shift-reduce actions using trained classifiers for action selection.
Machine translate test data.
Machine translate then train.
Translate between languages. Preserve meaning, tone.
How well meaning is preserved.
How natural translation sounds.
LLMs can translate between languages. For best quality, use models trained on parallel corpora or multilingual data.
Convert between scripts.
See through thin samples at atomic scale.
EBSD on thin samples.
Transmission line effects become significant when interconnect length exceeds signal wavelength fraction.
High-frequency behavior of long interconnects.
TransNAS applies neural architecture search specifically to transformer architectures optimizing attention patterns.
Transparency exposes internal mechanisms enabling analysis of model reasoning.
Making model behavior and decisions understandable.
Process see-through materials.
Transportation waste moves materials without adding value.
Unnecessary movement of materials.
Tunneling via defect states.
Travelers are documents accompanying lots recording processing steps and results.
Components in matrix tray.
Suggest treatment options.
Tree diagrams systematically break goals into progressively detailed tasks.
Tree-of-Thought explores multiple reasoning branches, backtracks if needed. Better for complex planning problems.
Explore multiple reasoning paths in a tree structure and backtrack if needed.
Tree of thoughts explores multiple reasoning branches systematically searching solution space.
Trench contacts etch deeply into silicon reducing resistance but requiring careful profile control.
Trench-first dual damascene etches trenches before vias affecting profile and fill challenges.
Etch trench before via.
Etched channel that will be filled with conductor or insulator.
Identify systematic changes.
Trend filtering extracts smooth trends from time series using discrete difference penalty regularization.
Tri-training uses three classifiers where two agree to label examples for the third enabling semi-supervised learning without explicit views.
Three classifiers label for each other.
Order of materials by charge generation.
Trigeneration adds cooling production to cogeneration using absorption chillers driven by waste heat.
Voltage activating ESD protection.
Triggered attention decides online when to emit output tokens for streaming recognition.
Remove outliers before averaging.
Extract subject-predicate-object facts from text.
Triple well adds deep well isolation enabling independent substrate biasing and improved noise immunity.
Isolate nFET and pFET with separate wells.
Extra well for isolation.
Capture cross-dimension interaction.
Triplet loss learns embeddings. Anchor, positive, negative.
Triton Inference Server (NVIDIA) serves multiple model types. Dynamic batching, model ensemble, GPU scheduling.
Language for writing GPU kernels.
Triton Inference Server serves models at scale: batching, multi-model, multi-GPU, metrics. Production-ready serving.
Triton is OpenAI language for GPU kernels. Python-like syntax. Easier than CUDA for custom operations.