A dual-attention graph transformer on a weighted network representation of fusing locations models cross-layer interactions to improve quality prediction in metal additive manufacturing over image, sequence, and graph baselines.
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2 Pith papers cite this work. Polarity classification is still indexing.
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RocketSmith is an LLM-based agentic system that designs four high-powered rockets via additive manufacturing, with two achieving stable launches and recovery after reaching 80% of simulated apogee.
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Spatiotemporal Graph Transformer for 3D Neighborhood Interaction and Quality Prediction in Metal Additive Manufacturing
A dual-attention graph transformer on a weighted network representation of fusing locations models cross-layer interactions to improve quality prediction in metal additive manufacturing over image, sequence, and graph baselines.
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RocketSmith: Agentic Additive Manufacturing of High-Powered Rockets
RocketSmith is an LLM-based agentic system that designs four high-powered rockets via additive manufacturing, with two achieving stable launches and recovery after reaching 80% of simulated apogee.