Machine-learning-assisted design of re-entrant honeycomb metamaterials with tunable mechanical properties

doi:10.1016/j.ijmecsci.2025.110778

Machine-learning-assisted design of re-entrant honeycomb metamaterials with tunable mechanical properties

2025-08-29

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DOI：10.1016/j.ijmecsci.2025.110778

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Abstract

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• SISSO derived explicit, interpretable formulas for mechanical indicators. • The significance of each parameter was evaluated. • The framework applies to both 2D and 3D metamaterials for property prediction.

Keywords:

SISSO

explicit formulas

mechanical indicators

metamaterials

property prediction

Machine-learning-assisted design of re-entrant honeycomb metamaterials with tunable mechanical properties

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