Reverse design of complex ceramic shapes using deep learning and evolutionary algorithms

Weixiang Peng

doi:10.1016/j.addma.2026.105190

Reverse design of complex ceramic shapes using deep learning and evolutionary algorithms

2026-04-02

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Hortense Le Ferrand *

DOI：10.1016/j.addma.2026.105190

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Abstract

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• Coordinated neural network predicts deformed shapes from given material layouts. • Deep learning with an evolutionary algorithm finds optimal material layouts. • Results guide 3D magnetic drop printing to create precise and strong ceramic parts.

Keywords:

deep learning

evolutionary algorithms

ceramic shapes

neural networks

3D magnetic drop printing

Reverse design of complex ceramic shapes using deep learning and evolutionary algorithms

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