3 papers
math.AP2026
Localized Generative Design of Ship Hulls with Diffusion Models and High-Fidelity Assessment
Hadi Keramati, Mohammed A. Hannan, Patrick Kirchen +4
Practical ship design requires localized refinement and performance evaluation. This paper presents a reward-directed diffusion framework for localized hull optimization. Parametri…
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 flexible…