Multifunctional multiphysics metamaterials via decomposition-based multiobjective optimization design.

A decomposition-based multiobjective evolutionary inverse-design framework enables multifunctional multiphysics metamaterials to achieve mechanical, thermal, and direct-current cloaking while minimizing stress in each studied case.

• Why it matters: Existing metamaterial design methods struggle with active-source scenarios, coupled multiphysics requirements, and integrating multiple functions with explicit priority trade-offs within one structure.
• What they did: The approach uses dynamic normalization to uniformly explore the Pareto front in a decomposition-based multiobjective evolutionary algorithm, leveraging a robust anisotropic unit-cell database to generate optimized microstructures.
• The result: In three complex cases, it simultaneously attains mechanical cloaking plus stress minimization, thermal cloaking plus stress minimization, and direct current cloaking plus thermal stress minimization, and it supports potential engineering designs that decouple functional and structural interactions.

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