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Identification of Boiling State and Prediction of Heat Flux for Downward Facing Surfaces Based on Machine Learning

https://doi.org/10.2139/ssrn.4860931
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Classification and prediction of the critical heat flux using fuzzy theory and artificial neural networks
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Estimation of pool boiling heat transfer coefficient of alumina water-based nanofluids by various artificial intelligence (AI) approaches
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Surface qualitative analysis and ANN modelling for pool boiling heat transfer using Al2O3-water based nanofluids
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HPR1000: Advanced Pressurized Water Reactor with Active and Passive Safety
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Correlation of critical heat flux for flow boiling of water in mini-channels
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Combination of support vector regression and artificial neural networks for prediction of critical heat flux
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Machine learning classification of boiling regimes with low speed, direct and indirect visualization
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Automatic detection of the onset of film boiling using convolutional neural networks and Bayesian statistics
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Visualization-based nucleate boiling heat flux quantification using machine learning
inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2021.121744openalex-extracted
Machine learning predictions of critical heat fluxes for pillar-modified surfaces
inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2022.122857openalex-extracted
Machine learning prediction of critical heat flux on downward facing surfaces
inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2024.125308openalex-extracted
Manipulating thin film boiling to achieve record-breaking high heat flux
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Applications of genetic neural network for prediction of critical heat flux
inferredcites →https://doi.org/10.1016/j.net.2020.12.007openalex-extracted
Prediction of critical heat flux for narrow rectangular channels in a steady state condition using machine learning
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Analysis of likelihood of lower head failure and ex-vessel fuel coolant interaction energetics for AP1000
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The 2006 CHF look-up table
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Application of machine learning for prediction of critical heat flux: Support vector machine for data-driven CHF look-up table construction based on sparingly distributed training data points
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In-vessel coolability and retention of a core melt
inferredcites →https://doi.org/10.1016/s0896-6273(00)80984-8openalex-extracted
Early Exploration of the Visual Cortex
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Two-Phase Flow Regime Identification with a Multiclassification Support Vector Machine (SVM) Model
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Application of Deep Belief Network for Critical Heat Flux Prediction on Microstructure Surfaces
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Gradient-based learning applied to document recognition
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Prediction of the Pool Boiling Critical Heat Flux Using Artificial Neural Network
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Backpropagation Applied to Handwritten Zip Code Recognition
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