Active Learning in Bayesian Neural Networks for Bandgap Predictions of Novel Van der Waals Heterostructures
The bandgap is one of the most fundamental properties of condensed matter. However, an accurate calculation of its value, which could potentially allow experimentalists to identify materials suitable for device applications, is very computationally expensive. Here, active machine learning algorithms...
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| Main Authors: | , , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Wiley
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/e41b429baf3547a4b1f34b7a6c481518 |
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