6 citations · 8 across the 22 of their papers we have counts for
11 papers · 1 filter
Strategies for Deploying AI Agents in Production at Scientific User Facilities
Ming Du, Xiangyu Yin, Michael Prince +40
Agentic artificial intelligence (AI) is moving beyond research demonstrations toward production use at scientific user facilities, including light sources, neutron sources, nanosci…
APEXA: Execution-Integrity Enforcement for Multi-Agent LLM Automation of Synchrotron Data Reduction
Pawan K. Tripathi, Hemant Sharma, Andrew Chuang +1
LLM agents can make expert scientific workflows accessible through natural language, but a plausible response does not establish that the requested computation ran. This matters at…
On-chip Bragg peak extraction from MHz frame rate X-ray detectors using a cellular automaton architecture
S. Fowler, S. Strempfer, D. Beniwal +13
High-frame rate pixel detectors can produce data volumes that exceed available off-chip bandwidth, yet in many applications only a sparse subset of each frame carries relevant info…
Artifact-centered Claim-aware Observability for Autonomous Scientific Agents
Xiangyu Yin, Ming Du, Michael H. Prince +1
Autonomous scientific agents now increasingly propose ideas, write code, run experiments, analyze results, and even draft papers. Observe and audit those agents are necessary but l…
XRF-to-Optical Field-of-View Localization with Vision Language Models
Xiangyu Yin, Tatjana Paunesku, Letonia Copeland-Hardin +7
Registering images acquired with different microscopy modalities is essential for relating complementary measurements of the same specimen. In correlative X-ray fluorescence (XRF)…
Acquisition Geometry-Assisted Whole-Group Localization of X-ray Fluorescence Maps in Optical Microscopy Images
Xiangyu Yin, Tatjana Paunesku, Letonia Copeland-Hardin +7
X-ray fluorescence (XRF) microscopy maps elemental distributions, while optical microscopy can provide complementary morphological context. Localizing XRF fields of view (FOVs) in…
An End-to-End Differentiable Forward Model for High-Energy Diffraction Microscopy
Hemant Sharma, Nina Andrejevic, Simon Zhang +1
High-Energy Diffraction Microscopy (HEDM) recovers crystallographic orientation, strain, and grain position from rotating-crystal X-ray diffraction patterns. Existing forward model…
A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility
Rajat Sainju, Dariusz Jarosz, Hairong Shang +5
Scientific user facilities accumulate decades of operational knowledge that no single search index covers: electronic logbooks, technical documents, internal wikis, operations chat…
CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
Ming Du, Xiangyu Yin, Yanqi Luo +4
Scientific data processing often requires task-specific algorithms or AI models, creating a barrier for domain scientists who need to analyze their data but may not have extensive…
AlphaDiffract: Automated Crystallographic Analysis of Powder X-ray Diffraction Data
Nina Andrejevic, Ming Du, Hemant Sharma +6
Materials identification and structural understanding from powder X-ray diffraction (PXRD) data is a long-standing challenge in materials science, fundamental to discovering and ch…
EAA: Automating materials characterization with vision language model agents
Ming Du, Yanqi Luo, Srutarshi Banerjee +3
We present Experiment Automation Agents (EAA), a vision-language-model-driven agentic system designed to automate complex experimental microscopy workflows. EAA integrates multimod…