Agentic artificial intelligence (AI) is moving beyond research demonstrations toward production use at scientific user facilities, including light sources, neutron sources, nanoscience centers, and autonomous laboratories. Its scientific value extends beyond increasing throughput. Agents can perform repeatable tasks in...
Ming Du, Xiang-Yu Yin, Michael H. Prince et al.· 0 citations
This work argues that autonomous scientific systems should emit portable, claim-aware artifact lineage as a minimum audit layer, and proposes a compact observability profile organized around individuals, operators, fitness records, lineage, archives, runs, streams, and steering commands.
Xiang-Yu Yin, Ming Du, Michael H. Prince et al.· 1 citation
X-ray fluorescence (XRF) microscopy maps elemental distributions, while optical microscopy can provide complementary morphological context. Localizing XRF fields of view (FOVs) in optical images is difficult because the two modalities differ in contrast mechanism and resolution. Most current workflows place each XRF ti...
Xiang-Yu Yin, T. Paunesku, Letonia Copeland-Hardin et al.· 0 citations
This paper evaluates training-free vision language model (VLM) localization on two datasets representing same-section high-correspondence and adjacent-section low-correspondence imaging and tests unconstrained and metadata-constrained search and VLMs with geometric controls, classical template matching, and two alterna...
Xiang-Yu Yin, T. Paunesku, Letonia Copeland-Hardin et al.· 0 citations
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