activity
20212026
most citedBridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval

4 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SE2026

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…

cs.AI2026

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…

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2026

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…

cs.CV2026

Unsupervised Semantic Segmentation in Synchrotron Computed Tomography with Self-Correcting Pseudo Labels

Austin Yunker, Peter Kenesei, Hemant Sharma +3

X-ray computed tomography (CT) is a widely used imaging technique that provides detailed examinations into the internal structure of an object with synchrotron CT (SR-CT) enabling…

cs.LG2023

Rapid detection of rare events from in situ X-ray diffraction data using machine learning

Weijian Zheng, Jun-Sang Park, Peter Kenesei +7

High-energy X-ray diffraction methods can non-destructively map the 3D microstructure and associated attributes of metallic polycrystalline engineering materials in their bulk form…

cs.LG2022★ 1 cited

fairDMS: Rapid Model Training by Data and Model Reuse

Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu +7

Extracting actionable information rapidly from data produced by instruments such as the Linac Coherent Light Source (LCLS-II) and Advanced Photon Source Upgrade (APS-U) is becoming…

cs.LG2021★ 4 cited

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval

Zhengchun Liu, Ahsan Ali, Peter Kenesei +11

Extremely high data rates at modern synchrotron and X-ray free-electron laser light source beamlines motivate the use of machine learning methods for data reduction, feature detect…