Generative deep learning methods have recently been proposed for generating 3D molecules using equivariant graph neural networks (GNNs) within a denoising diffusion framework. However, such methods ...

This study addresses the relatively underexplored impact of architectural design, particularly 3D geometric proportions, on carbon reduction efficiency in the context of prefabricated construction. By ...