Admissibility-First Materials Discovery: Collapse-Surface Gating, Corridor Non-Emptiness, and a Reproducible 3D Percolation–Spectral Validation for a Paradox Ceramic Class

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Authors: Jorge Vasconcelos
Cited by: 0

Abstract

Description This paper presents an admissibility-first contraction framework for multi-objective materials discovery. Microstructures are represented as graphs/voxel fields. Collapse surfaces are defined via deterministic predicates: film spanning (percolation) and free-backbone spectral continuity. A constructive 3D lattice instantiation proves corridor non-emptiness and enables reproducible contraction analysis. A numerical sweep on a 3D cubic lattice (N=20, 40 trials per p) reports spanning probabilities and spectral radius behavior, replacing speculative threshold scalings with empirical gates. The contribution is a falsifiable admissibility certificate framework, not a materials recipe.

Fields of Study & Subjects

Machine Learning in Materials Science Theoretical and Computational Physics Material Selection and Properties

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
EN
Document type
Preprint