4 papers
Diffusion Transformers with Hybrid Conditioning for Structural Optimization
Aaron Lutheran, Srijan Das, Alireza Tabarraei
This work presents a diffusion transformer framework for data-driven structural topology optimization that combines the accuracy of physics-based methods with the efficiency of gen…
Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization
Aaron Lutheran, Srijan Das, Alireza Tabarraei
Topology optimization is used for the design of high-performance structures but remains fundamentally limited by its iterative nature, requiring repeated finite element analyses th…
Transformer-based Topology Optimization
Aaron Lutheran, Srijan Das, Alireza Tabarraei
Topology optimization enables the design of highly efficient and complex structures, but conventional iterative methods, such as SIMP-based approaches, often suffer from high compu…
Latent Space Diffusion for Topology Optimization
Aaron Lutheran, Srijan Das, Alireza Tabarraei
Topology optimization enables the automated design of efficient structures by optimally distributing material within a defined domain. However, traditional gradient-based methods o…