Motion-Aware Sequencing
Cross-source consensus on Motion-Aware Sequencing from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Benefits
Highlighted claims
- TAS-AI ordering reduced total acquisition time from 88 minutes to 60 minutes at fixed measurement budget. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
- Motion-aware scheduling reduces wall-clock time for a fixed set of candidate measurements without changing science counting time. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
- Route ordering and motion costs should be considered part of acquisition design. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
- Motion-aware sequencing models move time as a function of changes in H and energy plus overhead. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
- The default queue builder is greedy and one-step, while optional MCTS evaluates short batched sequences. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy