A language-model-driven agentic AI system autonomously executes multi-stage physics experiments at a production synchrotron light source, reducing preparation time by two orders of magnitude while upholding safety constraints.
Wiedemann,Particle Accelerator Physics, Gradu- ate Texts in Physics (Springer International Publishing, Cham, 2015)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.acc-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Agentic AI for Multi-Stage Physics Experiments at a Large-Scale User Facility Particle Accelerator
A language-model-driven agentic AI system autonomously executes multi-stage physics experiments at a production synchrotron light source, reducing preparation time by two orders of magnitude while upholding safety constraints.