Physics-informed deep learning for one-dimensional consolidation
Neural networks with physical governing equations as constraints have recently created a new trend in machine learning research. In this context, a review of related research is first presented and discussed. The potential offered by such physics-informed deep learning models for computations in geo...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-04-01
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| Series: | Journal of Rock Mechanics and Geotechnical Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674775520301384 |