Multiview Domain Adaptation in Polymer and Electrocatalyst Informatics

Keywords

artificial intelligence
materials

Abstract

This review examines multiview graph adaptation across polymer and electrocatalyst informatics through a mechanism-to-decision framework. It asks which structural views can transfer across chemical domains and which should remain isolated. Evidence is organized around representation, validation, uncertainty, and operational control, with no invented experiments or unreported quantitative results. Particular attention is given to domain alignment erasing mechanism-bearing differences. 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 polymer and catalyst property prediction while keeping component promise distinct from system readiness.

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