Self-consistent validation for machine learning electronic structure
<p>Machine learning has emerged as a significant approach to efficiently tackle electronic structure problems. Despite its potential, there is less guarantee for the model to generalize to unseen data that hinders its application in real-world scenarios. To address this issue, a technique has...
| Autori principali: | , , , , , , |
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| Natura: | Conference item |
| Lingua: | English |
| Pubblicazione: |
2024
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