This work presents ANCM-X, an advanced multi-layer adaptive nuclear-conductive matrix engineered for stable electrical conductivity and structural integrity across extreme thermal ranges. The system integrates ultra-high-temperature ceramics, cryogen
This work presents ANCM-X, an advanced multi-layer adaptive nuclear-conductive matrixengineered for stable electrical conductivity and structural integrity across extreme thermal ranges.The system integrates ultra-high-temperature ceramics, cryogenic conductive structures, gradedneutral buffer layers, and embedded AI-driven sensing architecture. Theoretical modeling, thermalcycle simulations (1000 day-night cycles), regression-based predictive stability modeling, andstructural compounding methods are presented. The framework demonstrates feasibility foraerospace, energy, defense, cryogenic infrastructure, and high-temperature industrial applications.
Authors
- PRABIN KUMAR
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-16
- DOI
- https://doi.org/10.5281/zenodo.18666902
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00