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Synthetic Lagrangian turbulence by generative diffusion models

Physics

Synthetic Lagrangian turbulence by generative diffusion models

T. Li, L. Biferale, et al.

This groundbreaking research by T. Li, L. Biferale, F. Bonaccorso, M. A. Scarpolini, and M. Buzzicotti introduces a machine learning approach leveraging a state-of-the-art diffusion model to generate single-particle trajectories in three-dimensional turbulence. The model excels in reproducing statistical benchmarks, paving the way for high-quality synthetic datasets with significant applications.... show more
Citation Metrics
Citations
46
Influential Citations
2
Reference Count
94
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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