most citedSpatiotemporal Tracking of Optical Speckles in Turbulent Atmospheric Propagation

3 citations · 3 across the 2 of their papers we have counts for

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5 papers

physics.optics2026

Spatiotemporal Tracking of Persistent, Localized Speckles in Turbulent Atmospheric Propagation

Travis M. Crumpton, Luat T. Vuong

Light propagation through turbulence produces speckles, whose ensemble behavior is typically characterized by snapshot intensity statistics. Here, we track the spatiotemporal evolu…

physics.optics20263 cited

Spatiotemporal Tracking of Optical Speckles in Turbulent Atmospheric Propagation

Travis M. Crumpton, Luat T. Vuong

The speckle fields produced by optical beam propagation through atmospheric turbulence are typically described using ensemble-averaged intensity and coherence statistics, which obs…

physics.optics2026

Learning from Translation: Seasonal Errors and Feature Importance of the ERA5 Turbulence Predictions

Arial Tolentino, Markus Petters, Luat T. Vuong

Turbulence is a phenomena that is {\it locally} and statistically characterized by measurements, but it is caused by {\it nonlocal} energy cascades associated with the environment.…

cond-mat.mtrl-sci2025

Spectrum Selective Interfaces and Materials towards Non-photothermal Saltwater Evaporation: Demonstration with a White Ceramic Wick

Navindra D. Singh, James Leung, Ji Feng +5

Most solar desalination efforts are photothermal: they evaporate water with ``black'' materials that absorb as much sunlight as possible. Such ``brine-boiling'' methods are limited…

physics.optics2025

Generalized Training for Neural Network Learnability: a Spectral Methods Approach

Altai Perry, Luat Vuong

Hybrid optical neural networks (HONNs) offload some electronic computation to optical preprocessors to achieve low-power and fast training and inference phases in machine learning…