2026-10-09T20:07:51Z https://data.mendeley.com/oai

oai:data.mendeley.com/fr96d9k8vk.1 2026-07-23T23:02:05Z

Decker, Nicolin Figure 5. Copper Substitution Eligibility Framework for AI, Grid, and Thermal Infrastructure Mendeley Data This dataset contains Figure 5. Copper Substitution Eligibility Framework for AI, Grid, and Thermal Infrastructure, an original analytical framework developed by Nicolin R. Decker for Conversion Sovereignty and Strategic Tempo: Copper Fabrication, Thermal Infrastructure, and AI Industrial Capacity, 2026–2056. The figure is designed as a systems-engineering decision tool for evaluating whether a proposed copper substitute creates genuine infrastructure optimization or merely transfers cost, risk, energy demand, maintenance burden, qualification delay, or supply-chain dependency elsewhere in the system. The framework evaluates substitution through seven criteria: functional equivalence, architectural compatibility, interface compatibility, safety and reliability, qualification readiness, lifecycle performance, and supply-chain resilience. Each criterion is organized around a core evaluation question, its strategic importance, and a corresponding congressional interpretation. This structure permits technical, industrial, and policy reviewers to assess proposed alternatives at the level of the complete installed architecture rather than through raw-material tonnage, purchase price, or laboratory feasibility alone. From a systems-engineering perspective, the framework treats electrical, thermal, mechanical, operational, and supply-chain performance as coupled variables. A substitute should not receive strategic credit simply because it reduces copper content in an individual component. It must also preserve required current-carrying or heat-transfer capability, fit within available space and routing constraints, integrate safely with adjoining materials and interfaces, satisfy applicable standards, remain maintainable over its intended service life, and avoid creating a more concentrated or difficult-to-reproduce dependency. The figure is intended to support analysis of AI data centers, grid modernization, transformers, conductors, bus systems, cooling loops, cold plates, heat exchangers, and other mission-critical electrical and thermal infrastructure. It may also assist Congress, federal agencies, utilities, manufacturers, researchers, and procurement authorities in evaluating grants, tax incentives, standards, research programs, and industrial-policy interventions involving alternative materials. The framework is not a certification standard or a universal ranking of substitute materials. It is a structured diagnostic screen intended to improve transparency, comparability, qualification discipline, and lifecycle decision-making. Its governing principle is that the appropriate policy objective is not maximum copper displacement, but a verified reduction in total infrastructure burden per unit of reliable, productive, maintainable, and resilient capacity. Engineering Electrical Engineering Materials Science Artificial Intelligence Industrial Engineering Public Policy Infrastructure Dataset doi:10.17632/fr96d9k8vk.1 oai:data.mendeley.com/fr96d9k8vk.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/fr96d9k8vk 2026-07-23T23:02:05Z