NOBUGS 2026

The MAIQMag project aims to utilize AI trained on multiple modalities to provide faster and more unique understanding of Hamiltonian parameters for Quantum Magnets. These modalities include, single crystal and powder inelastic neutron scattering data, Resonance Inelastic Xray scattering data and Magnetization. The neutron results are from Oak Ridge National Laboratory and the X-ray results are...

Beamline scientists spend a disproportionate amount of their time answering the same
questions and running the same routine procedures for users. "Where is the sample
stage right now?", "how do I switch to flyscan mode?", "what does this PV do?" All of
this work is essential, but rarely the best use of an expert who is also responsible for
the experiment. BAIT (Bluesky AI Tools) offloads...

Bluesky and Tiled together provide an ideal platform for AI agents to interact with user facility data. Bluesky captures the context around measurements and the relationships between data streams in an experiment. Tiled empowers scientists and their agents to search all that context and selectively access data of interest---whether the data came from Bluesky or another system. When an LLM is...

Large synchrotron datasets present a growing challenge: data volumes increasingly outpace human capacity for systematic exploration and discovery. We present an agentic AI framework that couples LangGraph-based multi-agent orchestration with Tiled/bluesky for exploring and searching data. Specialized agents autonomously browse Tiled node hierarchies, retrieve datasets and metadata, apply...

The high brilliance of modern X-ray and neutron sources enables temporally and spatially resolved measurements with high acquisition rates, resulting in vast amounts of data. Given the achieved experimental performance, the data analysis becomes a substantial bottleneck on the way to new discoveries. This applies, inter alia, to surface-sensitive scattering techniques, such as...