4 papers · 1 filter
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…
Graph Neural Network-Based Topology Optimization for Self-Supporting Structures in Additive Manufacturing
Alireza Tabarraei, Saquib Ahmad Bhuiyan
This paper presents a machine learning-based framework for topology optimization of self-supporting structures, specifically tailored for additive manufacturing (AM). By employing…
Variational Quantum Latent Encoding for Topology Optimization
Alireza Tabarraei
A variational framework for structural topology optimization is developed, integrating quantum and classical latent encoding strategies within a coordinate-based neural decoding ar…