AINeutralarXiv – CS AI · 9h ago6/10
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Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction
Researchers developed PSP-HDC, a graph-structured hyperdimensional computing framework for predicting material properties in 3D microstructure fabrication with sparse, heterogeneous data. The approach achieves 91% accuracy while providing inherent explainability—a critical advantage over conventional machine learning models that struggle with limited datasets and poor generalization.