Integrating Materials Discovery, Energy Performance, and Lifecycle Evidence
Keywords:
materials informatics, lifecycle assessment, energy systems, sustainability, AIAbstract
This review examines integration of materials discovery, energy performance, and lifecycle evidence. The organizing question is how candidate-level predictions can be connected to manufacturing, use-phase performance, circularity, and environmental burden. Ten related scholarly sources are synthesized through a decision-centered framework spanning problem definition, mechanism, measurement, evaluation, implementation, and governance. The review does not invent experiments, pooled estimates, or unreported quantitative results. It instead evaluates the strength and transferability of the available evidence, with particular attention to optimizing a material property while exporting impacts to another lifecycle stage. The resulting framework links technical or empirical performance to explicit use conditions and identifies tests that should precede wider adoption in sustainable energy and materials innovation.
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