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Editorial | Artificial Intelligence in Computational Mechanics | Volume 1 - Issue 1 - 2024 | 1-5 |
© 2024 by the author(s), and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License Creative Commons Attribution 4.0 International (CC BY 4.0) License

Unlocking the Transformative Potential of Artificial Intelligence in Computational Mechanics

Author(s): Parsa Ghannadi 1 , Seyed Sina Kourehli 2 , Andy Nguyen 3 , Qilin Li 4 , Erkan Oterkus 5
Author(s) information:
1 Department of Civil Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
2 Department of Civil Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran
3 School of Engineering, University of Southern Queensland, Springfield, QLD 4300, Australia
4 School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, WA, Australia
5 Department of Naval Architecture, Ocean, and Marine Engineering, University of Strathclyde, Glasgow, United Kingdom

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Artificial Intelligence in Computational Mechanics

Artificial Intelligence in Computational Mechanics

Volume 1 - Issue 1 - 2024

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Integrating artificial intelligence into computational mechanics represents a transformative paradigm shift in modelling, simulation, analysis, and design methodologies. By harnessing AI's power while ensuring its explainability to the users, we can enhance predictive capabilities, optimize design and performance, accelerate research and development efforts, and empower our engineers to address longstanding challenges. Let us embrace this transformative technology and work together to unlock its full potential in advancing the frontiers of computational mechanics.

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SUBMITTED: 04 March 2024
ACCEPTED: 08 May 2024
PUBLISHED: 14 May 2024
SUBMITTED to ACCEPTED: 65 days

Keywords
Artificial Intelligence Computational Mechanics
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