TFDA extracts local topological flow structures from instantaneous streamlines, encodes them as planar trees and strings, and reduces flow evolution to a transition graph between equivalence classes, applied to lid-driven cavity flow at Re=14000-16000 to reveal periodic-to-chaotic transitions and en
Tres observaciones sobre el algebra lin- eal.Univ
4 Pith papers cite this work. Polarity classification is still indexing.
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A greedy max-weight decomposition strategy for MoE all-to-all communication on photonic fabrics improves overlap efficiency and reduces compute overheads compared to BvN by bounding the number of matchings.
Nexus-CAT applies percolation theory via cluster analysis to simulation trajectories, revealing a percolation transition before crystallization in amorphous silicon.
citing papers explorer
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Topological flow data analysis for transient flow patterns: a graph-based approach
TFDA extracts local topological flow structures from instantaneous streamlines, encodes them as planar trees and strings, and reduces flow evolution to a transition graph between equivalence classes, applied to lid-driven cavity flow at Re=14000-16000 to reveal periodic-to-chaotic transitions and en
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Birkhoff Decompositions and Photonic Interconnects Wait! Don't Forget the Compute!
A greedy max-weight decomposition strategy for MoE all-to-all communication on photonic fabrics improves overlap efficiency and reduces compute overheads compared to BvN by bounding the number of matchings.
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Nexus-CAT: A Computational Framework to Define Long-Range Structural Descriptors in Glassy Materials from Percolation Theory
Nexus-CAT applies percolation theory via cluster analysis to simulation trajectories, revealing a percolation transition before crystallization in amorphous silicon.