... problem. This article thus focuses on the inverse design of frame structures and proposes Graph -based D iffusion- G enerative M ultiobjective design (GraphDGM), a graph-based generative data-driven surrogate model constrained by multiple targets. By integrating the finite element method (FEM), we...

... utilize the established dataset to train an inverse design framework that utilizes a physics-guided neural network algorithm, and the framework can predict design parameters for a targeted shape-morphing structure. The proposed approach enables the generation of structures with tailored Poisson’s ratio...

... conditions and given constraints. Simultaneously, modal analysis is iteratively performed, using SAP2000 through C# scripts, to obtain relationships for the structural configuration, mass, and stiffness of the origami structure. Finally, an inverse design process based on a fitting cylindrical annulus...

...Manaswin Oddiraju; Amir Behjat; Mostafa Nouh; Souma Chowdhury Automated inverse design methods are critical to the development of metamaterial systems that exhibit special user-demanded properties. While machine learning approaches represent an emerging paradigm in the design of metamaterial...

..., we demonstrate a probabilistic inverse design machine learning (PMI) framework to carry out an explicit inverse design. PMI calculates the design explicitly without excessive costly iteration and overcomes the challenges associated with ill-posed inverse problems. In this study, the framework...