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Journal Articles

Multi-Fidelity Design Framework Integrating Compositional Kernels to Facilitate Early-Stage Design Exploration of Complex Systems

Nikoleta Dimitra Charisi, Hans Hopman, Austin A. Kana
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2025, 147(1): 011701.
Paper No: MD-24-1071
https://doi.org/10.1115/1.4065890
Published Online: July 23, 2024
View Article titled, Multi-Fidelity Design Framework Integrating Compositional Kernels to Facilitate Early-Stage Design Exploration of Complex Systems
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Topics: Design, Hafnium
Journal Articles

Modified Structure of Deep Neural Network for Training Multi-Fidelity Data With Non-Common Input Variables

Hwisang Jo, Byeong-uk Song, Joon-Yong Huh, Seung-Kyu Lee, Ikjin Lee
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 101702.
Paper No: MD-23-1583
https://doi.org/10.1115/1.4064782
Published Online: March 5, 2024
View Article titled, Modified Structure of Deep Neural Network for Training Multi-Fidelity Data With Non-Common Input Variables
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Topics: Artificial neural networks, Hafnium