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Experimental data
Powder XRD patterns measured in real experiments—not simulated patterns alone.
Experimental XRD Database
Every diffraction record deserves scientific scrutiny.
Xchange is an open, human-reviewed database for experimental powder X-ray diffraction (XRD) data. It also stands for eXchange: bringing data, insight, and researchers together to advance science.
Experimental patternHuman reviewed
Quality first
Large-scale data is not necessarily reliable data.
Incomplete experiments, incorrect labels, and experiment–structure mismatches can make models look strong on paper but fail in the lab. Xchange puts curation and traceability before scale.
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Human review
Expert checks informed by experimental, phase, and structural context.
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Traceable context
Experimental, sample, phase, and structural metadata with record history.
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Research-ready
Curated data for model development, validation, and meaningful benchmarks.
Xchange = eXchange
Exchange moves science forward.
“Xchange” is more than a home for XRD data. It is a commitment to open exchange: data shared, reviewed, discussed, and corrected in clear context can become scientific knowledge that others can reuse.
Every contribution, review, and piece of feedback helps the research community build a more reliable common ground for the next discovery.
↔DATA · DIALOGUE · DISCOVERY
Curation philosophy
From pattern to trusted record.
We do more than collect patterns: experimental data, metadata, and structural information are understood together in a verifiable context.
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Experimental pattern & contextBring together powder XRD patterns, conditions, sample, and structural information.
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Expert human reviewCheck labels, available metadata, and experiment–structure consistency.
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Quality control & historyRecord review status clearly and preserve traceable versions and corrections.
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Research-ready dataSupport transparent, reproducible materials-informatics research and fair evaluation.
Designed for research
Built for real problems in materials research.
From model training to label-quality studies, Xchange provides a more dependable experimental data foundation.
- XRD pattern recognition and phase-identification research
- Machine-learning training, validation, and benchmark datasets
- Label quality and experiment–structure consistency studies
- Transparent, reproducible materials-informatics workflows