Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time

Powered by advances in graphics processors, the algorithmic duo’s achievement has broad applications from chemical engineering to nuclear power.

Authors

Publication Details

Journal
Scilight
Published
2024-08-09
DOI
https://doi.org/10.1063/10.0028327
Citations
2
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
0.37
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article

Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time

Adam Liebendorfer
2 citations
Scilight
Fluid Dynamics and Mixing
0.37
article

Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time

Adam Liebendorfer
article en
2 citations

Abstract

Powered by advances in graphics processors, the algorithmic duo’s achievement has broad applications from chemical engineering to nuclear power.

ScilightVol. 2024(32)
Openalex Percentile: Top 44%
Fluid Dynamics and Mixing
0.37
DOIOpen Access PDFOpenAlex
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Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time — Adam Liebendorfer · Scilight (2024) | TGRS Research Map | TGRS