TO-Master is an LLM agent framework that orchestrates finite-element topology optimization from conversational inputs, supporting 2D/3D compliance, thermal, stress-constrained, and multi-load cases while reproducing benchmarks without user code.
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A trust-region adaptive finite-element method for nonsmooth PDE-constrained optimization that refines meshes using a posteriori error estimators for state and adjoint equations.
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An online adaptive finite-element method for nonsmooth PDE-constrained optimization
A trust-region adaptive finite-element method for nonsmooth PDE-constrained optimization that refines meshes using a posteriori error estimators for state and adjoint equations.