Keywords
materials
systems
evidence synthesis
reliability
provenance
Abstract
This critical review examines cross-scale modelling and validation in thermowettability in graphene channels, with links to intelligent manufacturing and evidence governance. The organizing question is which cross-scale relationships are mechanistically defensible and which are only empirical correlations. Ten or more scholarly and user-supplied records are synthesized through a mechanism-to-decision framework spanning system boundaries, measurement, representation, evaluation, translation, and governance. No experiment, participant dataset, effect estimate, or production result is invented. Particular attention is given to cross-scale agreement being inferred from shared trends rather than mechanism. The review argues that credible translation requires source-level traceability, explicit validity domains, failure-aware evaluation, and revalidation triggers. Google Scholar-supplied records are retained in structured APA form, and no missing DOI or pagination field is completed by conjecture.
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