ME 697R Lecture 8.3A: Machine Learning Techniques - Machine Learning Based Nanostructure Optimization I

By Xiulin Ruan

Mechanical Engineering, Purdue University, West Lafayette, IN

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Researchers should cite this work as follows:

  • Xiulin Ruan (2020), "ME 697R Lecture 8.3A: Machine Learning Techniques - Machine Learning Based Nanostructure Optimization I," https://nanohub.org/resources/33093.

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2004 Mechanical Engineering, Purdue University, West Lafayette, IN

ME 697R Lecture 8.3A: Machine Learning Techniques - Machine Learning Based Nanostructure Optimization I
  • Lecture 8.3: Machine learning based nanostructure optimization 1. Lecture 8.3: Machine learning … 0
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  • Thermoelectric Applications 2. Thermoelectric Applications 36.236236236236238
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  • Interfaces and Superlattices 3. Interfaces and Superlattices 94.4944944944945
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  • Aperiodic Superlattices (Random Multilayers) 4. Aperiodic Superlattices (Rando… 251.21788455121791
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  • Genetic Algorithm 5. Genetic Algorithm 516.95028361695029
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  • Genetic Algorithm 6. Genetic Algorithm 681.3813813813814
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  • Flow Chart 7. Flow Chart 811.07774441107779
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  • GA Optimization Results 8. GA Optimization Results 966.4664664664665
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  • Understanding the Physics 9. Understanding the Physics 1113.9806473139806
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  • Neural Network 10. Neural Network 1418.7187187187187
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  • Neural Network 11. Neural Network 1536.67000333667
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  • Training and Testing Sets 12. Training and Testing Sets 1612.4124124124126
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