Neutrino Physics and Machine Learning 2026

Session

Applications: AI/ML Ecosystems & Scientific Automation

19 Jun 2026, 11:15

The Interdisciplinary Science and Engineering Building (UC Irvine)

30. An Agentic Workflow for Quality Control of Front-end Electronics

Chao Zhang (Brookhaven National Laboratory)

19/06/2026, 11:15

Experimental Applications

Applications in Experiments

Quality control of front-end electronics is a critical but labor-intensive step in large-scale neutrino detector deployments. Expert knowledge must be applied consistently across thousands of channels, often in remote or underground environments where turnaround time directly impacts commissioning schedules. We present an agentic LLM-based workflow that automates this process...

56. Application of the Dr.Sai Agentic Scientific Workflow in JUNO

Xuefeng Ding (Institute of High Energy Physics, Chinese Academy of Sciences)

19/06/2026, 11:40

Experimental Applications

Applications in Experiments

Modern neutrino experiments depend on complex and highly iterative analysis workflows involving reconstruction, simulation, calibration, background studies, validation, and documentation. In many cases, the bottleneck is not a single algorithm, but the efficient, reproducible, and auditable execution of expert-defined procedures. This talk presents the application of the Dr.Sai agentic...