Deep learning algorithms identify and track bubbles through gas-liquid interfaces in real time
Year: 2024
Type: article
Abstract: Powered by advances in graphics processors, the algorithmic duo’s achievement has broad applications from chemical engineering to nuclear power.
Source: Scilight
DOI: 10.1063/10.0028327
Author: Adam Liebendorfer
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4401463393