Agentic AI for User Facilities: Workshop Report

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Authors: Thorsten Hellert, David Abramov, Mahmoud Ajami, Edward S. Barnard, W. Bhimji, Gopika Bhardwaj, Tanny Chávez, Hazem Daoud, Tim J. Dunn, Kjiersten Fagnan, Steven Farrell, João Gabriel Felipe Machado Gazolla
+34 more Grbcic Luka, Guenzing Damian, Guo Jinghua, Yang Ha, Alexander Hexemer, Hayden Hoschouer, Ju Xiangyang, Konaté Kadidia, Gianluca Martino, McReynolds Dylan, M Annette Miller, Sara A. Miskovich, Peco Myint, Saad Naseem, Trent Northen, Maria Patrou, Gabriel E. Pérez, Paul Quinn, Haroon Rafique, Daniel F. Ratner, Aaron Reed, Eno Reyes, Hairong Shang, M A Smith, Antonin Sulc, Chris Tennant, Pawan K. Tripathi, Robert Underwood, Morgan K. Wall, Dan Wang, A Xiang Wu, Chenran Xu, Kevin G. Yager, Zhe Zhang
Cited by: 1
References: 2

Abstract

This workshop addressed a gap: the most recent DOE reports on AI for science [1–3] predate recent advances in agentic AI—LLM-based systems that can plan, orchestrate, and execute multi-step workflo...

Fields of Study & Subjects

Context-Aware Activity Recognition Systems Multi-Agent Systems and Negotiation Modular Robots and Swarm Intelligence

Publication details

Journal / source
Synchrotron Radiation News
Publisher
Informa UK Limited
Volume
39
Issue
2
Pages
42–48
Publication date
4 March 2026
Language
EN