Machine Learning for Novel Thermal-Materials Discovery: Early Successes, Opportunities, and Challenges
High-throughput computational and experimental design of materials aided by machine learning have become an increasingly important field in material science. This area of research has emerged in leaps and bounds in the thermal sciences, in part due to the advances in computational and experimental m...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Engineered Science Publisher
2020
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| Online Access: | https://hdl.handle.net/1721.1/126055 |