2 papers
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…
cs.CE2025
Generative Parametric Design (GPD): A framework for real-time geometry generation and on-the-fly multiparametric approximation
Mohammed El Fallaki Idrissi, Jad Mounayer, Sebastian Rodriguez +2
This paper presents a novel paradigm in simulation-based engineering sciences by introducing a new framework called Generative Parametric Design (GPD). The GPD framework enables th…