3 papers
cs.LG2025
HeatGen: A Guided Diffusion Framework for Multiphysics Heat Sink Design Optimization
Hadi Keramati, Morteza Sadeghi, Rajeev K. Jaiman
This study presents a generative optimization framework based on a guided denoising diffusion probabilistic model (DDPM) that leverages surrogate gradients to generate heat sink de…
cs.CE2025
A Multi-Fidelity Global Search Framework for Hotspot Prevention in 3D Thermal Design Space
Morteza Sadeghi, Hadi Keramati, Sajjad Bigham
We present a Bézier-based Multi-Fidelity Thermal Optimization Framework, which is a computationally efficient methodology for the global optimization of 3D heat sinks. The flexibl…
cs.LG2025
A Reward-Directed Diffusion Framework for Generative Design Optimization
Hadi Keramati, Patrick Kirchen, Mohammed Hannan +1
This study presents a generative optimization framework that builds on a fine-tuned diffusion model and reward-directed sampling to generate high-performance engineering designs. T…