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Architected materials and metastructures are transforming how mechanical and multifunctional performance can be designed—shifting control from material composition to internal geometry. From lightweight structures to energy absorption systems, the ability to precisely engineer geometry opens new possibilities across research and engineering applications. 

We are excited to share the Top6Meta, a Python-based framework for designing advanced architected materials.

Top6Meta (Top-6-Class MetaStudio) is now released, providing a unified computational platform for modeling and generating advanced architected materials. Built in Python, the framework brings together multiple classes of material architectures within a single, consistent environment.

The software integrates three primary structural families—strut-based lattices, triply periodic minimal surfaces (TPMS), and stochastic spinodal structures—along with advanced derivative designs such as hybrid multimorphology systems, functionally graded architectures, and interpenetrating phase composites (IPCs). All of these are implemented within a common modeling paradigm, allowing seamless transitions between geometries and consistent control over key design parameters.

Top6Meta supports the creation of both standalone metamaterials and larger structural systems, including beams, plates, and sandwich configurations. This enables users to bridge the gap between mesoscale topology design and real-world engineering applications.

Designed with flexibility in mind, the platform offers a modular architecture that supports both graphical interaction and programmatic workflows. Computational efficiency is enhanced through selective parallel processing, enabling faster generation of complex geometries.

By consolidating diverse architected-material classes into a single extensible framework, Top6Meta provides a powerful tool for researchers, engineers, and designers exploring next-generation materials and structural systems.

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