AutoXRD: Autonomous LLM Agents and Comprehensive Evaluation for Powder Diffraction Analysis
cond-mat.mtrl-sci, cs.AI
Submitted: 2026-08-30
Updated: 2026-08-30
Project page: https://stephen-smj.github.io/AutoXRD
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Hybrid DiffractGPT-Rietveld Refinement Framework for Automated X-ray Diffraction Analysis
- Rongzai agent: A Large Language Model-Based Autonomous Assistant for Rietveld Refinement of Neutron Diffraction Data
- The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
- NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
- Fantastic Scientific Agents and How to Build Them: AgentBuild for Rietveld Refinement
- DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems
- MatDiffract: A Material-Informed Automated Analysis Platform for X-ray Powder Diffraction
- Automated multiphase identification and refinement in powder diffraction using mismatch-tolerant machine learning
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