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Journal Articles

Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity

Tong Zhu, Qiye Zheng, Yanglong Lu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111004.
Paper No: JCISE-23-1469
https://doi.org/10.1115/1.4064555
Published Online: July 22, 2024
View Article titled, Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity
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Topics: Heat conduction, Physics, Temperature, Thermal diffusivity, Artificial neural networks, Boundary-value problems, Inverse problems
Journal Articles

Special Issue: Highlights of CIE 2021

Marina Carulli, Seung-Kyum Choi, Tsz Ho Kwok, Yan Lu, Mahesh Mani, Paul Witherell
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 030301.
Paper No: JCISE-22-1090
https://doi.org/10.1115/1.4054201
Published Online: April 29, 2022
View Article titled, Special Issue: Highlights of CIE 2021
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Topics: Computer software, Computer-aided engineering, Computers, Computers and information in engineering , Cyber-physical systems, Design, Design engineering, Geometric modeling, Haptics, Hardware
Journal Articles

Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach

Vivek Oommen, Balaji Srinivasan
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2022, 22(4): 041012.
Paper No: JCISE-21-1348
https://doi.org/10.1115/1.4053800
Published Online: March 10, 2022
View Article titled, Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach
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Topics: Artificial neural networks, Errors, Heat, Heat transfer, Physics, Temperature, Neural network models, Error analysis, Inverse problems, Machine learning
Journal Articles

Complete High Dimensional Inverse Characterization of Fractal Surfaces and Volumes

John G. Michopoulos, Athanasios Iliopoulos
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research-Article
J. Comput. Inf. Sci. Eng. March 2013, 13(1): 011001.
Paper No: JCISE-12-1189
https://doi.org/10.1115/1.4007987
Published Online: December 19, 2012
View Article titled, Complete High Dimensional Inverse Characterization of Fractal Surfaces and Volumes
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Topics: Fractals, Errors, Inverse problems, Density