Perspective: Predicting and optimizing thermal transport properties with machine learning methods
In recent years, (big) data science has emerged as the “fourth paradigm” in physical science research. Data-driven techniques, e.g. machine learning, are advantageous in dealing with problems of high-dimensional features and complex mappings between quantities, which are otherwise of great difficult...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2022
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher |