VISION-iT: A Framework for Digitizing Bubbles and Droplets

VISION-iT: A Framework for Digitizing Bubbles and Droplets

Quantifying the nucleation processes involved in liquid-vapor phase-change phenomena, while dauntingly challenging, is central in designing energy conversion and thermal management systems. Recent technological advances in the deep learning and computer vision field offer the potential for quantifyi...

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Bibliographic Details
Main Authors: Youngjoon Suh, Sanghyeon Chang, Peter Simadiris, Tiffany B. Inouye, Muhammad Jahidul Hoque, Siavash Khodakarami, Chirag Kharangate, Nenad Miljkovic, Yoonjin Won
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Energy and AI
Subjects:
Deep learning
Computer vision
Nucleation
Heat transfer
Phase-change phenomena
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000812

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http://www.sciencedirect.com/science/article/pii/S2666546823000812

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