Abstract: Integration of machine learning (ML) with topology optimization (TO) has been attempted in many works. However, most works employ ML in a data-driven paradigm, which requires well-defined training data, and the generalization ...

Abstract: Inspired by natural designs, microstructures exhibit remarkable properties, which drive interest in creating metamaterials with extraordinary traits. However, imperfections within microstructures and poor connectivity at ...

Abstract: In recent years, advances in additive manufacturing (AM) techniques have called for a scalable fabrication framework for high-resolution designs. Despite several process-specific handful design approaches, there is a gap ...

Abstract: Cellular materials are critical elements for mechanical metamaterials design and fabrication. Tailoring the internal cellular material structural pattern can achieve a much broader range of bulk properties than the constituent ...