6 citations · 6 across the 5 of their papers we have counts for
3 papers · 1 filter
Observation geometry for uncertainty-aware Hamiltonian inference and experimental design in quantum magnets
Roy Liu, Venugopal Ranganathan, David Dahlbom +12
Determining microscopic interactions from spectroscopic and scattering measurements is central to understanding quantum materials, yet it often remains unclear which interactions c…
AIMS: an AI experimentalist turns uncertainty into quantum matter discovery
Siyuan Qiu, Philip D. Suh, Nhat Huy Tran +13
Most AI agents act only after scientists have defined the task. Discovery is harder under practical uncertainties: the probe may not be where it is expected, the signal may occupy…
Toward Personalized Darts Training: A Data-Driven Framework Based on Skeleton-Based Biomechanical Analysis and Motion Modeling
Zhantao Chen, Dongyi He, Jin Fang +4
As sports training becomes more data-driven, traditional dart coaching based mainly on experience and visual observation is increasingly inadequate for high-precision, goal-oriente…