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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
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
Open the PDF for Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction in another window
Topics: Algorithms, Artificial neural networks, Heat transfer, Physics, Simulation, Temperature, Uncertainty, Phase transitions, Finite element methods, Additive manufacturing