4 papers
MatDiffract: A Material-Informed Automated Analysis Platform for X-ray Powder Diffraction
Hongqing Wang, Mingwei Chen, Hongjie Luo +7
High-throughput experimentation and self-driving laboratories are drastically accelerating materials discovery, yet automated interpretation of X-ray powder diffraction (XRPD) data…
Data Preservation in High Energy Physics: Global Report 2026
Matthew Bellis, Jamie Boyd, Daniel Britzger +46
This document summarizes the contributions to the 5th DPHEP workshop March 5-6, 2026, CERN, and reflects the advancements since 2024, as well as future milestones and tendencies. I…
Rongzai agent: A Large Language Model-Based Autonomous Assistant for Rietveld Refinement of Neutron Diffraction Data
Qingmeng Li, Hao Wang, Dongbo Xiong +11
Neutron diffraction (ND) is an indispensable technique for determining atomic positions (especially light elements) and thus serves as a critical probe for revealing microscopic st…
Recommendations for Best Practices for Data Preservation and Open Science in HEP
Simone Campana, Irakli Chakaberia, Gang Chen +33
These recommendations are the result of reflections by scientists and experts who are, or have been, involved in the preservation of high-energy physics data. The work has been don…