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Journal Articles

Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems

Accepted Manuscript
John Michopoulos, Anindya Bhaduri, Francisco Chinesta, Elias Cueto, Dehao Liu, Sandipp Krishnan Ravi, Jian-Xun Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1524
https://doi.org/10.1115/1.4066791
Published Online: October 4, 2024
View Article titled, Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems
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Topics: Machine learning, Manufacturing, Artificial intelligence, Computer-aided engineering, Computer-aided manufacturing, Engineering systems and industry applications
Journal Articles

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

Dehao Liu, Pranav Pusarla, Yan Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031008.
Paper No: JCISE-22-1159
https://doi.org/10.1115/1.4055316
Published Online: December 9, 2022
View Article titled, Multifidelity Physics-Constrained Neural Networks With Minimax Architecture
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Topics: Artificial neural networks, Heat transfer, Phase transitions, Physics, Machine learning, Temperature, Modeling, Optimization
Proceedings Papers

Multi-Fidelity Physics-Constrained Neural Networks With Minimax Architecture for Materials Modeling

Dehao Liu, Pranav Pusarla, Yan Wang
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A011, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-91219
https://doi.org/10.1115/DETC2022-91219
View Paper titled, Multi-Fidelity Physics-Constrained Neural Networks With Minimax Architecture for Materials Modeling
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Topics: Artificial neural networks, Machine learning, Modeling, Optimization, Physics
Journal Articles

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012.
Paper No: JCISE-22-1123
https://doi.org/10.1115/1.4055924
Published Online: November 8, 2022
View Article titled, Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction
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Topics: Algorithms, Artificial neural networks, Heat transfer, Physics, Simulation, Temperature, Uncertainty, Phase transitions, Finite element methods, Additive manufacturing
Journal Articles

A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution

Anh Tran, Tim Wildey, Jing Sun, Dehao Liu, Yan Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061005.
Paper No: JCISE-21-1332
https://doi.org/10.1115/1.4054237
Published Online: May 10, 2022
View Article titled, A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution
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Topics: Diffusion (Physics), Fokker-Planck equation, Simulation
Journal Articles

Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys

Dehao Liu, Yan Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051002.
Paper No: JCISE-19-1294
https://doi.org/10.1115/1.4046543
Published Online: April 21, 2020
View Article titled, Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys
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Topics: Alloys, Cooling, Lasers, Latent heat, Lattice Boltzmann methods, Melting, Nucleation (Physics), Simulation, Temperature, Solidification
Proceedings Papers

Multi-Fidelity Physics-Constrained Neural Network and its Application in Materials Modeling

Dehao Liu, Yan Wang
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A007, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98115
https://doi.org/10.1115/DETC2019-98115
View Paper titled, Multi-Fidelity Physics-Constrained Neural Network and its Application in Materials Modeling
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Topics: Artificial neural networks, Machine learning, Modeling, Partial differential equations, Physics
Proceedings Papers

Simulation of Nucleation and Grain Growth in Selective Laser Melting of Ti-6Al-4V Alloy

Dehao Liu, Yan Wang
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A032, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97684
https://doi.org/10.1115/DETC2019-97684
View Paper titled, Simulation of Nucleation and Grain Growth in Selective Laser Melting of Ti-6Al-4V Alloy
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Topics: Alloys, Lasers, Lattice Boltzmann methods, Melting, Nucleation (Physics), Simulation
Journal Articles

Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling

Dehao Liu, Yan Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121403.
Paper No: MD-19-1177
https://doi.org/10.1115/1.4044400
Published Online: September 27, 2019
View Article titled, Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling
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Topics: Artificial neural networks, Modeling, Phase transitions, Physics, Simulation, Heat transfer
Journal Articles

A Statistical Model of Equivalent Grinding Heat Source Based on Random Distributed Grains

Zhenguo Nie, Gang Wang, Dehao Liu, Yiming (Kevin) Rong
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. May 2018, 140(5): 051016.
Paper No: MANU-17-1572
https://doi.org/10.1115/1.4038729
Published Online: March 7, 2018
View Article titled, A Statistical Model of Equivalent Grinding Heat Source Based on Random Distributed Grains
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Topics: Grinding, Heat, Temperature, Heat flux
Proceedings Papers

Mesoscale Multi-Physics Simulation of Solidification in Selective Laser Melting Process Using a Phase Field and Thermal Lattice Boltzmann Model

Dehao Liu, Yan Wang
Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A027, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67633
https://doi.org/10.1115/DETC2017-67633
View Paper titled, Mesoscale Multi-Physics Simulation of Solidification in Selective Laser Melting Process Using a Phase Field and Thermal Lattice Boltzmann Model
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Topics: Lasers, Lattice Boltzmann methods, Melting, Physics, Simulation, Solidification, Alloys, Flow (Dynamics), Heat transfer, Additive manufacturing
Proceedings Papers

Numerical Simulation of the Austenitizing Process in Hypoeutectoid Fe-C Steels

Dehao Liu, Gang Wang, Zhenguo Nie, Yiming (Kevin) Rong
Proc. ASME. MSEC2014, Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, V001T01A004, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-3948
https://doi.org/10.1115/MSEC2014-3948
View Paper titled, Numerical Simulation of the Austenitizing Process in Hypoeutectoid Fe-C Steels
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Topics: Computer simulation, Steel, Phase transitions, Diffusion (Physics), Ferrites (Magnetic materials), Heating, Particulate matter, Temperature