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20242026
most citedRank Reduction Autoencoders

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math.NA2026

Rank Reduction AutoEncoders for Mechanical Design: Advancing Novel and Efficient Data-Driven Topology Optimization

Ismael Ben-Yelun, Mohammed El Fallaki Idrissi, Jad Mounayer +2

This work presents a data-driven framework for fast forward and inverse analysis in topology optimization (TO) by combining Rank Reduction Autoencoders (RRAEs) with neural latent-s…