BlendedNet++ provides a new dataset of 12,492 BWB geometries with RANS-derived Cp and Cf fields and benchmarks geometric deep learning for field prediction plus conditional diffusion models for inverse design achieving R^2 > 0.99 on lift-to-drag targets verified by CFD.
Interactive supercomputing on 40,000 cores for machine learning and data analysis
3 Pith papers cite this work. Polarity classification is still indexing.
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Adaptive clustering of subproblems in Benders decomposition yields grouped cuts that outperform standard multi-cut formulations for energy CEMs under weak inter-temporal coupling, with gains largest in big systems with short horizons.
Decentralized learning enables fixed-wing aircraft to conform to AAM corridor boundaries over 94% of the time and reach goals efficiently in simulated single, sequential, and splitting corridor scenarios with infrequent tactical interventions except at high density.
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Clustering-enhanced adaptive Benders decomposition for energy systems planning optimization
Adaptive clustering of subproblems in Benders decomposition yields grouped cuts that outperform standard multi-cut formulations for energy CEMs under weak inter-temporal coupling, with gains largest in big systems with short horizons.