2 papers
math.OC2026
A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
Jing Li, Xindi Hu, Helin Gong +2
We propose Alternating Phase-Field Fourier Neural Networks (APF-FNNs) as a unified and physics-based framework for topology optimization. The approach decouples the design problem…
math.OC2024
Adversarial neural network methods for topology optimization of eigenvalue problems
Xindi Hu, Jiaming Weng, Shengfeng Zhu
This research presents a novel method using an adversarial neural network to solve the eigenvalue topology optimization problems. The study focuses on optimizing the first eigenval…