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SYSTEM PROCESSING...
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SYSTEM PROCESSING...
Posted: 2025-05-11 06:15:42 UTC
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-05-11 06:15:52 UTC
Verified By
Rollup News
A novel machine learning framework utilizing persistent homology is introduced to analyze disordered systems, offering a new metric for differentiating between liquid, amorphous, and crystalline phases.
Characterization of local and global structures in disordered systems
New metric for distinguishing between liquid, amorphous, and crystalline phases
Unified machine learning framework based on persistent homology
Analyzing disordered systems
Distinguishing between different phases of matter (liquid, amorphous, crystalline)