Differentiable Computational Lithogrpahy Framework
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Updated
Sep 2, 2025 - Python
Differentiable Computational Lithogrpahy Framework
Neural-ILT, An End-to-end Learning-based Mask Optimizer
NTHU CS5122 Design For Manufacturability Course Project (include Dummy Fill Insertion)
Coursework of NTHU CS512200 VLSI Design for Manufacturability
8 hands-on Autodesk Fusion 360 Design for Manufacturing labs covering constrained sketches, parametric CAD, assemblies, drawings, GD&T, exploded views, CAM setup, and certification review.
10 hands-on Autodesk Fusion 360 Design for Manufacturing labs covering project setup, sketches, parametric modeling, DFM rules, tolerances, materials, assemblies, drawings, simulation, CAM setup, inspection, cost-aware iteration, and capstone certification readiness.
Design for Manufacturing, checked automatically: manufacturability, process choice, cost and tolerance. Part of the Agentic Mechanical Engineering collection by WOGO.
A heuristics driven approach to generate sheet metal part designs
Benchmark for AI-generated parametric CAD, scored on whether the part can actually be printed
Validate AI-generated CAD-as-code PRs (CadQuery / Build123d) — geometric metric diff, min-wall-thickness, DFM rules, and 6-view rendered PR previews. CLI + GitHub Action.
A design-to-inspection digital thread for additive manufacturing: STL in, orientation DoE + voxel build simulation + DfAM + inspection plan + a gated digital-thread record out.
An agentic benchmark for the physical world: spatial reasoning, design-for-manufacturing (DFM), and 3D-maker capability. Math-graded, not LLM-judged. MakerBench is to physical design what SWE-bench is to software.
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