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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25Cited by 0

Mathematical Framework and Degeneracy Verification of the Five Properties of Matter: Material Space Compression Under the Field Domain Number Equation Constraint

Chao Qin

This paper presents the five-property framework of matter (FC field coherence, FF field frequency, R prime field capacity, PC polymorphic coupling, B4F boundary four-forces), established on the mathematical constraints of the Field Domain Number Equation (FDNE). The framework comprises four hierarchical layers of mathematical relationships: FDNE substrate constraints, PC ratio-chain coupling, boundary four-force parameterization, and bridge mapping to process quantities. A V10 database was constructed from 1,407,278 DFT-computed materials for full-scale verification, revealing that material space is highly degenerate under the five-property constraints: 1.4M materials correspond to only 4,154 field-domain states (integer precision, 338x compression), with an average of 4.3 materials sharing the same 7-dimensional fingerprint per group. Intra-group electronic classification consistency reaches 94-100%, while the traditional metal/semiconductor/insulator classification spans multiple categories in 65.7% of R prime states. The naive combinatorial space (18.2 billion) is compressed to 4,154 under FDNE constraints - a 4.38-million-fold compression. A flashlight model is proposed to explain the material naming inflation mechanism. Both Chinese and English versions are included.

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Code and data for "Dynamic evaluation of uncertainty quantification under distribution shift in materials property prediction"

Wenbin Wan, Kexin Liu, Shanlin Tong, Wu Lu, Liu Y, Xingwen Jiang, et al.

This record contains the supplementary code and data supporting the manuscript “Dynamic evaluation of uncertainty quantification under distribution shift in materials property prediction.” The archive contains raw and processed data tables, crystallographic structures, Materials…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

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