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results found
Autonomous laboratories typically rely on data-driven decision-making, occasionally with human-in-the-loop oversight to inject domain expertise1–6. Fully leveraging AI agents, however, requires tightl...
Autonomous synthesis
pulsed laser deposition
remote epitaxy
machine learning
large language models
barium titanate
in situ diagnostics
graphene
Superconducting magnets for particle accelerators are particularly challenging to design because they involve a large number of coupled physical phenomena and the management of complex datasets. Artif...
Superconducting Magnets
Artificial Intelligence
Machine Learning
Evolutionary Computation
Topology Optimisation
Quench Anomaly detection
SinoXiv