A new Lagrangian approach combines diffusion maps and deterministic particle methods to quantify scalar mixing from tracer trajectories in fluid flows.
Laplacian eigenmaps for dimensionality reduction and data representation
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The chapter reviews the application of diffusion maps and sketch-map to biomolecular MD trajectories, covering algorithm function, practical considerations, comparisons on sample data, sketch-map applications, and future directions.
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Lagrangian description and quantification of scalar mixing in fluid flows from particle tracks
A new Lagrangian approach combines diffusion maps and deterministic particle methods to quantify scalar mixing from tracer trajectories in fluid flows.
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Using data-reduction techniques to analyse biomolecular trajectories
The chapter reviews the application of diffusion maps and sketch-map to biomolecular MD trajectories, covering algorithm function, practical considerations, comparisons on sample data, sketch-map applications, and future directions.