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Journal Articles

Temperature Field Reconstruction of Surfaces Heated Through Radiative Heat Transfer Using Convolutional Neural Networks

Luiz Aldeia Machado, Victor Coppo Leite, Elia Merzari, Roberto Ponciroli, Pramatha Bhat, Lesley Wright, Lander Ibarra, Yassin A. Hassan

Publisher: ASME

J. Heat Mass Transfer.

Paper No: HT-24-1402

https://doi.org/10.1115/1.4068750

Published Online: May 22, 2025

View Articletitled, Temperature Field Reconstruction of Surfaces Heated Through Radiative Heat Transfer Using Convolutional Neural Networks

Topics: Convolutional neural networks, Radiative heat transfer, Temperature, Computer simulation, Nuclear reactors, Sensors, Vessels, Blackbody radiation, Metal surfaces, Nuclear power

Journal Articles

Physics-Informed Proper Orthogonal Decomposition for Accurate and Superfast Prediction of Thermal Field

Linyi Xiang, Bisheng Zhang, Yuntao Zha, Guanying Xing, Xuan Yang, Zhaochen Wang, Yanhua Cheng, Xingjian Yu, Run Hu, Xiaobing Luo

Publisher: ASME

J. Heat Mass Transfer. July 2025, 147(7): 073301.

Paper No: HT-24-1397

https://doi.org/10.1115/1.4068266

Published Online: April 11, 2025

View Articletitled, Physics-Informed Proper Orthogonal Decomposition for Accurate and Superfast Prediction of Thermal Field

Topics: Physics, Principal component analysis, Temperature, Sprays, Cooling, Indexing (Machining), Thermal management

Includes: Supplementary data

Journal Articles

Physics-Assisted Machine Learning Models for Predicting Pool Boiling Critical Heat Flux for Cryogenic Fluids

Jiayuan Li, Chirag R. Kharangate

Publisher: ASME

J. Heat Mass Transfer. April 2025, 147(4): 041603.

Paper No: HT-24-1217

https://doi.org/10.1115/1.4067339

Published Online: January 17, 2025

View Articletitled, Physics-Assisted Machine Learning Models for Predicting Pool Boiling Critical Heat Flux for Cryogenic Fluids

Topics: Critical heat flux, Fluids, Machine learning, Modeling, Physics, Pool boiling, Feature selection, Boiling

Journal Articles

Physics-Informed Bayesian Neural Networks for Solving Phonon Boltzmann Transport Equation in Forward and Inverse Problems With Sparse and Noisy Data

Ruiyang Li, Jiahang Zhou, Jian-Xun Wang, Tengfei Luo

Publisher: ASME

J. Heat Mass Transfer. March 2025, 147(3): 032501.

Paper No: HT-24-1263

https://doi.org/10.1115/1.4067163

Published Online: December 16, 2024

View Articletitled, Physics-Informed Bayesian Neural Networks for Solving Phonon Boltzmann Transport Equation in Forward and Inverse Problems With Sparse and Noisy Data

Topics: Noise (Sound), Phonons, Inverse problems, Physics, Temperature, Artificial neural networks

Journal Articles

A Transformative Approach for Breast Cancer Detection Using Physics-Informed Neural Network and Surface Temperature Data

Isaac Perez-Raya, Carlos Gutierrez, Satish Kandlikar

Publisher: ASME

J. Heat Mass Transfer. October 2024, 146(10): 101201.

Paper No: HT-23-1456

https://doi.org/10.1115/1.4065673

Published Online: June 17, 2024

View Articletitled, A Transformative Approach for Breast Cancer Detection Using Physics-Informed Neural Network and Surface Temperature Data

Topics: Artificial neural networks, Cancer, Heat transfer, Modeling, Physics, Temperature, Tumors, Heat, Machine learning, Errors

Journal Articles

Tracing the Academic Lineage of Richard J. Goldstein

John Shadid, Umesh Madanan

Publisher: ASME

J. Heat Mass Transfer. May 2024, 146(5): 050302.

Paper No: HT-24-1050

https://doi.org/10.1115/1.4065087

Published Online: April 5, 2024

View Articletitled, Tracing the Academic Lineage of Richard J. Goldstein

Topics: Astronomy, Heat transfer, Mathematics, Physics, Heat, Students

Journal Articles

Thermal Modeling of Patient-Specific Breast Cancer With Physics-Based Artificial Intelligence

I. Perez-Raya, S. G. Kandlikar

Publisher: ASME

J. Heat Mass Transfer. March 2023, 145(3): 031201.

Paper No: HT-22-1433

https://doi.org/10.1115/1.4055347

Published Online: December 9, 2022

View Articletitled, Thermal Modeling of Patient-Specific Breast Cancer With Physics-Based Artificial Intelligence

Topics: Artificial neural networks, Cancer, Computational fluid dynamics, Modeling, Physics, Temperature, Thermal conductivity, Tumors, Biological tissues, Simulation

Journal Articles

An Expert Model Based on Physics-Aware Neural Network for the Prediction of Thermal Conductivity of Nanofluids

Bivas Bhaumik, Satyasaran Changdar, Soumen De

Publisher: ASME

J. Heat Mass Transfer. October 2022, 144(10): 103501.

Paper No: HT-21-1791

https://doi.org/10.1115/1.4055116

Published Online: August 18, 2022

View Articletitled, An Expert Model Based on Physics-Aware Neural Network for the Prediction of Thermal Conductivity of Nanofluids

Topics: Artificial neural networks, Nanofluids, Physics, Thermal conductivity, Temperature, Nanoparticles, Algorithms, Fluids, Machine learning

Journal Articles

Multi-Objective Optimization of the Perforated Micro Pin-Fin Heat Sink Using Non-Dominated Sorting Genetic Algorithm-II Coupled With Computational Fluid Dynamics Simulation

Deepa Gupta, Probir Saha, Somnath Roy

Publisher: ASME

J. Heat Mass Transfer. September 2022, 144(9): 093301.

Paper No: HT-22-1120

https://doi.org/10.1115/1.4054761

Published Online: June 22, 2022

View Articletitled, Multi-Objective Optimization of the Perforated Micro Pin-Fin Heat Sink Using Non-Dominated Sorting Genetic Algorithm-II Coupled With Computational Fluid Dynamics Simulation

Topics: Algorithms, Computational fluid dynamics, Design, Fins, Heat sinks, Heat transfer, Optimization, Pareto optimization, Simulation, Temperature

Journal Articles

Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena

Matthew T. Hughes, Girish Kini, Srinivas Garimella

Publisher: ASME

J. Heat Mass Transfer. December 2021, 143(12): 120802.

Paper No: HT-21-1518

https://doi.org/10.1115/1.4052510

Published Online: October 18, 2021

View Articletitled, Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena

Topics: Artificial neural networks, Heat transfer, Machine learning, Modeling, Flow (Dynamics), Algorithms, Physics

Journal Articles

Physics-Informed Neural Networks for Heat Transfer Problems

Shengze Cai, Zhicheng Wang, Sifan Wang, Paris Perdikaris, George Em Karniadakis

Publisher: ASME

J. Heat Mass Transfer. June 2021, 143(6): 060801.

Paper No: HT-21-1083

https://doi.org/10.1115/1.4050542

Published Online: April 21, 2021

View Articletitled, Physics-Informed Neural Networks for Heat Transfer Problems

Topics: Artificial neural networks, Boundary-value problems, Cylinders, Errors, Flow (Dynamics), Forced convection, Heat transfer, Physics, Temperature, Sensors

Journal Articles

Frost Halo Dynamics on Superhydrophobic Surfaces

Wei Su, Longnan Li, Xiao Yan, Nenad Miljkovic

Publisher: ASME

J. Heat Mass Transfer. March 2020, 142(3): 030901.

Paper No: HT-20-1034

https://doi.org/10.1115/1.4046148

Published Online: February 5, 2020

View Articletitled, Frost Halo Dynamics on Superhydrophobic Surfaces

Topics: Dynamics (Mechanics), Drops, Freezing, Condensed matter, Diffusion (Physics), Vapors, Condensation, Evaporation, Microscale devices, Aerospace industry

Journal Articles

Surface Plasmon Resonance Imaging: A Technique to Reveal the Dropwise Condensation Mechanism

Shahab Bayani Ahangar, Jeffrey S. Allen, Seong Hyuk Lee, Chang Kyoung Choi

Publisher: ASME

J. Heat Mass Transfer. March 2020, 142(3): 030903.

Paper No: HT-20-1045

https://doi.org/10.1115/1.4046136

Published Online: February 5, 2020

View Articletitled, Surface Plasmon Resonance Imaging: A Technique to Reveal the Dropwise Condensation Mechanism

Topics: Condensation, Imaging, Surface plasmon resonance, Drops, Instrumentation, Resolution (Optics), Thin films, Vapors, Bridges (Structures), Composite materials

Journal Articles

Frontiers, Fundamentals, and Future Directions of Transport: From Theory to Applications - A Special Issue Honoring Dr. P. S. Ayyaswamy

Milind A. Jog, Debjyoti Banerjee

Publisher: ASME

J. Heat Mass Transfer. May 2019, 141(5): 050301.

Paper No: HT-19-1072

https://doi.org/10.1115/1.4043128

Published Online: March 27, 2019

View Articletitled, Frontiers, Fundamentals, and Future Directions of Transport: From Theory to Applications - A Special Issue Honoring Dr. P. S. Ayyaswamy

Topics: Engineering teachers, Heat transfer, Physics, Heat, Biotechnology, Bubbles, Endothelial cells, NASA

Journal Articles

Examining Liquid Hydrogen Wettability Using Neutron Imaging

Vinaykumar Konduru, Kishan Bellur, Ezequiel F. Médici, Jeffrey S. Allen, Chang Kyoung Choi, Daniel S. Hussey, David Jacobson, Juscelino B. Leão, John McQuillen, James C. Hermanson

Publisher: ASME

J. Heat Mass Transfer. August 2016, 138(8): 080901.

Paper No: HT-16-1209

https://doi.org/10.1115/1.4033822

Published Online: July 8, 2016

View Articletitled, Examining Liquid Hydrogen Wettability Using Neutron Imaging

Topics: Hydrogen, Imaging, Neutrons, Aluminum, Propellants, Vapors, Condensation, Cryogenics, Evaporation, National Institute of Standards and Technology

Journal Articles

Discussion: “Entransy is Now Clear”

M. M. Awad

Publisher: ASME

J. Heat Mass Transfer. September 2014, 136(9): 095502.

Paper No: HT-14-1050

https://doi.org/10.1115/1.4027821

Published Online: June 27, 2014

View Articletitled, Discussion: “Entransy is Now Clear”

Topics: Entropy, Heat, Heat transfer, Physics, Temperature, Thermodynamics, Exergy, Energy dissipation

Journal Articles

“Entransy,” and Its Lack of Content in Physics

Adrian Bejan

Publisher: ASME

J. Heat Mass Transfer. May 2014, 136(5): 055501.

Paper No: HT-13-1519

https://doi.org/10.1115/1.4026527

Published Online: March 6, 2014

View Articletitled, “Entransy,” and Its Lack of Content in Physics

Topics: Entropy, Flow (Dynamics), Heat, Physics, Temperature, Thermodynamics, Thermal resistance, Energy dissipation, Heat conduction, Heat transfer

Journal Articles

Physics of the Interaction of Ultrasonic Excitation With Nucleate Boiling

Sreenath Krishnan, Sarit K. Das, Dhiman Chatterjee

Publisher: ASME

J. Heat Mass Transfer. March 2014, 136(3): 031501.

Paper No: HT-12-1370

https://doi.org/10.1115/1.4025641

Published Online: November 21, 2013

View Articletitled, Physics of the Interaction of Ultrasonic Excitation With Nucleate Boiling

Topics: Acoustics, Boiling, Bubbles, Excitation, Heat flux, Heat transfer, Nucleate boiling, Nucleation (Physics), Physics, Pressure

Journal Articles

Modeling Transport in Porous Media With Phase Change: Applications to Food Processing

Amit Halder, Ashish Dhall, Ashim K. Datta

Publisher: ASME

J. Heat Mass Transfer. March 2011, 133(3): 031010.

https://doi.org/10.1115/1.4002463

Published Online: November 16, 2010

View Articletitled, Modeling Transport in Porous Media With Phase Change: Applications to Food Processing

Topics: Diffusion (Physics), Evaporation, Food products, Heating, Mass transfer, Porous materials, Pressure, Temperature, Water, Modeling

Journal Articles

Network Modeling of Fin-and-Tube Evaporator Performance Under Dry and Wet Conditions

Ling-Xiao Zhao, Liang Yang, Chun-Lu Zhang

Publisher: ASME

J. Heat Mass Transfer. July 2010, 132(7): 074502.

https://doi.org/10.1115/1.4000950

Published Online: May 5, 2010

View Articletitled, Network Modeling of Fin-and-Tube Evaporator Performance Under Dry and Wet Conditions

Topics: Artificial neural networks, Heat exchangers, Modeling, Refrigerants, Cooling, Physics, Temperature, Heat

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Temperature Field Reconstruction of Surfaces Heated Through Radiative Heat Transfer Using Convolutional Neural Networks

Physics-Informed Proper Orthogonal Decomposition for Accurate and Superfast Prediction of Thermal Field

Physics-Assisted Machine Learning Models for Predicting Pool Boiling Critical Heat Flux for Cryogenic Fluids

Physics-Informed Bayesian Neural Networks for Solving Phonon Boltzmann Transport Equation in Forward and Inverse Problems With Sparse and Noisy Data

A Transformative Approach for Breast Cancer Detection Using Physics-Informed Neural Network and Surface Temperature Data

Tracing the Academic Lineage of Richard J. Goldstein

Thermal Modeling of Patient-Specific Breast Cancer With Physics-Based Artificial Intelligence

An Expert Model Based on Physics-Aware Neural Network for the Prediction of Thermal Conductivity of Nanofluids

Multi-Objective Optimization of the Perforated Micro Pin-Fin Heat Sink Using Non-Dominated Sorting Genetic Algorithm-II Coupled With Computational Fluid Dynamics Simulation

Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena

Physics-Informed Neural Networks for Heat Transfer Problems

Frost Halo Dynamics on Superhydrophobic Surfaces

Surface Plasmon Resonance Imaging: A Technique to Reveal the Dropwise Condensation Mechanism

Frontiers, Fundamentals, and Future Directions of Transport: From Theory to Applications - A Special Issue Honoring Dr. P. S. Ayyaswamy

Examining Liquid Hydrogen Wettability Using Neutron Imaging

Discussion: “Entransy is Now Clear”

“Entransy,” and Its Lack of Content in Physics

Physics of the Interaction of Ultrasonic Excitation With Nucleate Boiling

Modeling Transport in Porous Media With Phase Change: Applications to Food Processing

Network Modeling of Fin-and-Tube Evaporator Performance Under Dry and Wet Conditions

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