Metamaterial Design Configuration

To automate CST configuration for metamaterial unit cells, you sketch the geometry in CST Studio while the agent programmatically configures units, materials, boundaries, Floquet ports, monitors, mesh, and solver. This human-in-the-loop workflow generates TargetConfig JSON and design.py artifacts.

A human-in-the-loop CST metamaterial design workflow separates tasks by letting the user draw geometry manually while the agent configures simulation infrastructure. It bridges literature-backed topology targets to CST tuning, requiring explicit user approval before advancing.

Yes, this CST design workflow supports NxN supercell arrays. It extends standard 1x1 unit cells to NxN arrays with per-atom parameters, enabling scalable and complex metamaterial designs within the configured simulation infrastructure.

Yes, you need the CST Python API and a configured environment to generate TargetConfig and design.py. These dependencies are required for the agent to validate constraints, build simulation infrastructure, and create design artifacts.

A key limitation is that automating metamaterial configuration requires manual geometry creation in CST Studio and explicit user approval. The agent cannot advance to CST tuning until constraints are validated and the user provides approval.