barcode reader, manufacturing operations
Barcode readers identify FOUPs and cassettes for material tracking.
9,967 technical terms and definitions
Barcode readers identify FOUPs and cassettes for material tracking.
Read wafer or lot IDs for tracking.
Track using barcodes.
Decorrelate dimensions of representations.
Reduce redundancy in learned representations.
Training difficulty in quantum circuits.
Barrier layers prevent metal diffusion into dielectrics and silicon using materials like tantalum nitride or titanium nitride in contacts and vias.
Thin film preventing diffusion between layers (TiN TaN).
Prevent metal diffusion into dielectric.
Barrier-free contacts eliminate barriers through selective metallization improving conductance in aggressively scaled nodes.
Areas with no high-loss barriers between solutions.
Combines bidirectional encoder with autoregressive decoder for seq2seq.
Alkaline contaminants.
Base models are foundational pre-trained models before any fine-tuning.
Base model is pretrained only. Instruct/chat versions are fine-tuned for dialog. Different use cases.
Base pressure is lowest achievable pressure indicating vacuum system quality.
Define reference performance for process.
Baseline plans document approved scope schedule and budget for tracking.
Baseline recipes define standard parameter settings for normal production.
Standard proven recipe used as reference.
Baseline models provide comparison point. Random, most frequent, mean.
Batch formation groups compatible lots for parallel processing.
Process multiple inputs together for efficiency.
Train on fixed dataset offline.
Control charts for batch data.
Optimize batch formation.
Learn from batch of data.
Decide optimal batch size.
How batch size impacts training.
Tune batch size to maximize throughput while meeting latency requirements.
Batch size reduction enables flexible production with less inventory through reduced setup times.
Increase batch size with resources.
Batch size determines number of wafers processed simultaneously in equipment.
Number of examples processed together in one forward/backward pass.
Larger batch size = higher throughput but may need LR adjustment. Critical batch size beyond which no benefit.
Process multiple wafers simultaneously (furnaces wet benches).
Time waiting for full batch.
Process multiple wafers together in chemical baths.
Batch size = number of sequences processed together. Larger batches improve GPU utilization and throughput but require more VRAM.
Batching combines multiple requests processing them together for efficiency.
Bath lifetime measures chemical use duration before replacement is required.
Failure rate over lifetime.
Bathtub curve shows failure rate versus time with infant mortality random and wear-out phases.
Failure rate vs time showing infant mortality useful life and wear-out.
Design materials for energy storage.
Bayesian change point detection models segment boundaries as latent variables with posterior inference.
ICL as approximate Bayesian inference.
Neural networks with probabilistic weights.
Use Bayesian methods to optimize recipes efficiently.
Use probabilistic model to guide hyperparameter search efficiently.