Keywords
materials
Abstract
This review examines prompt-efficient graph reasoning for sustainable materials design through a mechanism-to-decision framework. It asks how parameter-efficient adaptation can retain traceable links between prompts, structures, and predictions. Evidence is organized around representation, validation, uncertainty, and operational control, with no invented experiments or unreported quantitative results. Particular attention is given to lightweight adaptation inheriting unexamined source-domain bias. The synthesis shows that credible translation depends on explicit system boundaries, source-level traceability, failure-aware evaluation, and revalidation triggers. These principles provide a disciplined basis for sustainable materials screening while keeping component promise distinct from system readiness.
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