Empirical modeling and hybrid machine learning framework for nucleate pool boiling on microchannel structured surfaces
Fuente:
arXiv
Saved in:
| Main Authors: | Kuberan, Vijay, Gedupudi, Sateesh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Modelling of nucleate pool boiling on coated substrates using machine learning and empirical approaches
by: Kuberan, Vijay, et al.
Published: (2024)
by: Kuberan, Vijay, et al.
Published: (2024)
Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
by: Ribeiro, Jose Vinicius, et al.
Published: (2026)
by: Ribeiro, Jose Vinicius, et al.
Published: (2026)
Accurate ignition detection of solid fuel particles using machine learning
by: Li, Tao, et al.
Published: (2023)
by: Li, Tao, et al.
Published: (2023)
Early wind turbine alarm prediction based on machine learning: AlarmForecasting
by: Shah, Syed Shazaib, et al.
Published: (2025)
by: Shah, Syed Shazaib, et al.
Published: (2025)
A fast sound power prediction tool for genset noise using machine learning
by: Pargal, Saurabh, et al.
Published: (2025)
by: Pargal, Saurabh, et al.
Published: (2025)
Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning
by: Bastawrous, Mary V., et al.
Published: (2024)
by: Bastawrous, Mary V., et al.
Published: (2024)
Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm
by: Zheng, Ze, et al.
Published: (2026)
by: Zheng, Ze, et al.
Published: (2026)
The effect of dataset size and the process of big data mining for investigating solar-thermal desalination by using machine learning
by: Peng, Guilong, et al.
Published: (2023)
by: Peng, Guilong, et al.
Published: (2023)
An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning
by: Goncharov, Artem, et al.
Published: (2024)
by: Goncharov, Artem, et al.
Published: (2024)
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
by: Yoon, Ji Wei, et al.
Published: (2023)
by: Yoon, Ji Wei, et al.
Published: (2023)
Active learning of effective Hamiltonian for super-large-scale atomic structures
by: Ma, Xingyue, et al.
Published: (2023)
by: Ma, Xingyue, et al.
Published: (2023)
Deep learning for the design of non-Hermitian topolectrical circuits
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Training all-mechanical neural networks for task learning through in situ backpropagation
by: Li, Shuaifeng, et al.
Published: (2024)
by: Li, Shuaifeng, et al.
Published: (2024)
Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis
by: Wang, Weishi, et al.
Published: (2025)
by: Wang, Weishi, et al.
Published: (2025)
Design of Resistive Frequency Selective Surface based Radar Absorbing Structure-A Deep Learning Approach
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
Physics-guided machine learning predicts the planet-scale performance of solar farms with sparse, heterogeneous, public data
by: Jahangir, Jabir Bin, et al.
Published: (2024)
by: Jahangir, Jabir Bin, et al.
Published: (2024)
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
by: Hassanaly, Malik, et al.
Published: (2023)
by: Hassanaly, Malik, et al.
Published: (2023)
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
by: Hassanaly, Malik, et al.
Published: (2023)
by: Hassanaly, Malik, et al.
Published: (2023)
In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion
by: Karthikeyan, Adithyaa, et al.
Published: (2023)
by: Karthikeyan, Adithyaa, et al.
Published: (2023)
Design of Cavity Backed Slotted Antenna using Machine Learning Regression Model
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
Fourier series based modeling of the dynamics of inclined closed loop buoyancy driven heat exchangers with conjugate effect
by: Dass, Akhil, et al.
Published: (2020)
by: Dass, Akhil, et al.
Published: (2020)
Deep learning recognition and analysis of Volatile Organic Compounds based on experimental and synthetic infrared absorption spectra
by: Della Valle, Andrea, et al.
Published: (2025)
by: Della Valle, Andrea, et al.
Published: (2025)
Dimension reduction with structure-aware quantum circuits for hybrid machine learning
by: Daskin, Ammar
Published: (2025)
by: Daskin, Ammar
Published: (2025)
Reinforcement learning for spin torque oscillator tasks
by: Mojsiejuk, Jakub, et al.
Published: (2025)
by: Mojsiejuk, Jakub, et al.
Published: (2025)
Transfer learning discovery of molecular modulators for perovskite solar cells
by: Yan, Haoming, et al.
Published: (2025)
by: Yan, Haoming, et al.
Published: (2025)
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
by: Peters, Jonathan, et al.
Published: (2025)
by: Peters, Jonathan, et al.
Published: (2025)
A DEM-driven machine learning framework for abrasive wear prediction
by: Chandan, Prassana, et al.
Published: (2025)
by: Chandan, Prassana, et al.
Published: (2025)
Order parameters and phase transitions of continual learning in deep neural networks
by: Shan, Haozhe, et al.
Published: (2024)
by: Shan, Haozhe, et al.
Published: (2024)
Active learning for photonic crystals
by: Lopez, Ryan, et al.
Published: (2026)
by: Lopez, Ryan, et al.
Published: (2026)
Application of machine learning in grain-related clustering of Laue spots in a polycrystalline energy dispersive Laue pattern
by: Tosson, Amir, et al.
Published: (2024)
by: Tosson, Amir, et al.
Published: (2024)
Deep learning-enhanced dual-mode multiplexed optical sensor for point-of-care diagnostics of cardiovascular diseases
by: Han, Gyeo-Re, et al.
Published: (2025)
by: Han, Gyeo-Re, et al.
Published: (2025)
Reducing hyperparameter sensitivity in measurement-feedback based Ising machines
by: Sevenants, Toon, et al.
Published: (2026)
by: Sevenants, Toon, et al.
Published: (2026)
Accelerated Airfoil Design Using Neural Network Approaches
by: Patel, Anantram, et al.
Published: (2025)
by: Patel, Anantram, et al.
Published: (2025)
Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks
by: Yanguas-Gil, Angel, et al.
Published: (2022)
by: Yanguas-Gil, Angel, et al.
Published: (2022)
A Physics-informed Deep Operator for Real-Time Freeway Traffic State Estimation
by: Yu, Hongxin, et al.
Published: (2025)
by: Yu, Hongxin, et al.
Published: (2025)
Uncertainty Reasoning with Photonic Bayesian Machines
by: Brückerhoff-Plückelmann, F., et al.
Published: (2025)
by: Brückerhoff-Plückelmann, F., et al.
Published: (2025)
ASPEN: An Adaptive Spectral Physics-Enabled Network for Ginzburg-Landau Dynamics
by: Chrisnanto, Julian Evan, et al.
Published: (2025)
by: Chrisnanto, Julian Evan, et al.
Published: (2025)
Adaptive Fusion Graph Network for 3D Strain Field Prediction in Solid Rocket Motor Grains
by: Huang, Jiada, et al.
Published: (2025)
by: Huang, Jiada, et al.
Published: (2025)
Full-Precision and Ternarised Neural Networks with Tunnel-Diode Activation Functions: Computing and Physics Perspectives
by: McNaughton, Jake, et al.
Published: (2025)
by: McNaughton, Jake, et al.
Published: (2025)
Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics
by: Wang, Tianyi, et al.
Published: (2025)
by: Wang, Tianyi, et al.
Published: (2025)
Similar Items
-
Modelling of nucleate pool boiling on coated substrates using machine learning and empirical approaches
by: Kuberan, Vijay, et al.
Published: (2024) -
Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
by: Ribeiro, Jose Vinicius, et al.
Published: (2026) -
Accurate ignition detection of solid fuel particles using machine learning
by: Li, Tao, et al.
Published: (2023) -
Early wind turbine alarm prediction based on machine learning: AlarmForecasting
by: Shah, Syed Shazaib, et al.
Published: (2025) -
A fast sound power prediction tool for genset noise using machine learning
by: Pargal, Saurabh, et al.
Published: (2025)