3 papers
cs.LG2025
Deep learning-aided inverse design of porous metamaterials
Phu Thien Nguyen, Yousef Heider, Dennis M. Kochmann +1
The ultimate aim of the study is to explore the inverse design of porous metamaterials using a deep learning-based generative framework. Specifically, we develop a property-variati…
math.NA2025
Physics-based Machine Learning for Computational Fracture Mechanics
Fadi Aldakheel, Elsayed S. Elsayed, Yousef Heider +1
This study introduces a physics-based machine learning framework for modeling both brittle and ductile fractures. Unlike physics-informed neural networks, which solve partial diffe…
physics.flu-dyn2025
CNN-powered micro- to macro-scale flow modeling in deformable porous media
Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers
This work introduces a novel application for predicting the macroscopic intrinsic permeability tensor in deformable porous media, using a limited set of micro-CT images of real mic…