Transfer learning through physics-informed neural networks for bubble growth in superheated liquid domains-Reference-Cited by-同舟云学术

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Transfer learning through physics-informed neural networks for bubble growth in superheated liquid domains

Published:2024-11 Issue: Volume:232 Page:125940
ISSN:0017-9310
Container-title:International Journal of Heat and Mass Transfer
language:en
Short-container-title:International Journal of Heat and Mass Transfer

Author:

Jalili Darioush,Jadidi Mohammad,Keshmiri Amir,Chakraborty Bhaskar^ORCID,Georgoulas Anastasios,Mahmoudi Yasser

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Reference67 articles.

1. Numerical investigation of thermal performance of key components of electric vehicles using nucleate boiling;Singh;J. Therm. Sci. Eng. Appl.,2021

2. CFD Assesment of uniform bubbly flow in a bubble column;Saleh;J. Petrol. Sci. Eng.,2018

3. Application of ANN technique to predict the performance of solar collector systems - a review;Gharitlahre;Renew. Sustain. Energy Rev.,2018

4. Interfacial phenomena of the interaction between a liquid–liquid interface and rising bubble;Choi;Exp. Fluids,2021

5. On sharp-interface level-set method for heat and/or mass transfer induced stefan problem;Shaikh;Int. J. Heat Mass Transf.,2016

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