Machine learning‐based model for predicting the material properties of nanostructured aerogels
Abstract Data‐driven modeling in material science rose to prominence in the last decade, and various supervised and unsupervised machine learning techniques have been employed for material development and deriving insights for decision‐making purposes. In this context, machine learning can have prom...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | SPE Polymers |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/pls2.10082 |