additive-manufacturing

The Czinger 21C hybrid hypercar uses 3D-printed components and generative design from parent company Divergent Technologies, achieving exceptional performance and lap records.

This paper proposes a data-driven surrogate modeling framework using a hybrid Graph Neural Network-Long Short-Term Memory architecture to predict the static response of additively manufactured short-fiber thermoplastics, achieving high accuracy (R²≈0.98) and two orders of magnitude speedup over finite element simulations.

RocketSmith is an agentic system that uses large language models to automate the design and additive manufacturing of high-powered rockets, achieving successful flight tests with simulation results matching 80% of predicted apogee.

This paper presents a hybrid machine learning approach for real-time melt pool monitoring in laser powder bed fusion additive manufacturing, combining EfficientNetB0 feature extraction with Random Forest classification to achieve high accuracy and sub-millisecond inference time.

This paper proposes a novel architecture integrating multi-head attention with the Soft Actor-Critic algorithm for porosity prediction and process parameter optimization in additive manufacturing, achieving faster convergence and higher rewards than standard RL methods.