Deforming wallpaper group domains and using semiregular tessellations generates heterogeneous topological interlocking assemblies that fill space between planes, with a correspondence to generalized Truchet tiles and decorated lozenge tilings.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
LieEDNN embeds general Lie groups into neural dynamics using adjoint actions and metric projections to achieve stable learnable trajectories on manifolds like SE(3) for manipulator planning.
citing papers explorer
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Construction Methods for Space-Filling Heterogeneous Topological Interlocking Assemblies
Deforming wallpaper group domains and using semiregular tessellations generates heterogeneous topological interlocking assemblies that fill space between planes, with a correspondence to generalized Truchet tiles and decorated lozenge tilings.
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Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning
LieEDNN embeds general Lie groups into neural dynamics using adjoint actions and metric projections to achieve stable learnable trajectories on manifolds like SE(3) for manipulator planning.