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Machine Learning Aided Design and Optimization of Thermal Metamaterials
Changliang Zhu1, Emmanuel Anuoluwa Bamidele2, Xiangying Shen1
1Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, P.R. China.
Chemical Reviews
|March 28, 2024
Summary
Artificial Intelligence (AI) and machine learning (ML) accelerate thermal metamaterial design by predicting properties and optimizing structures. This review covers AI methodologies and case studies in thermal engineering.
Area of Science:
- Materials Science
- Computational Physics
- Artificial Intelligence
Background:
- Traditional material research faces limitations in exploring complex thermal properties.
- Machine learning (ML) offers novel approaches to predict and design materials with specific thermal characteristics.
- Thermal metamaterials present unique design challenges due to their intricate structures and desired functionalities.
Purpose of the Study:
- To review the application of Artificial Intelligence (AI) and ML in the design and optimization of thermal metamaterials.
- To elucidate the methodologies of discriminative and generative models in this field.
- To discuss the integration of AI with optimization algorithms for enhanced efficiency.
Main Methods:
- Explanation of discriminative and generative AI models.
- Overview of optimization algorithms used in conjunction with AI.
- Presentation of case studies demonstrating ML applications in thermal metamaterial design.
Main Results:
- AI, particularly ML, enables prediction of unprecedented thermal properties.
- Integration of discriminative models with optimization algorithms improves computational efficiency.
- Generative models facilitate structural design and optimization of thermal metamaterials.
Conclusions:
- AI and ML are transformative tools for advancing thermal metamaterial research.
- Further development is needed to address challenges and capitalize on opportunities in this rapidly evolving field.
- The review highlights the potential for AI to revolutionize the design of materials with tailored thermal performance.
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