Unexpected thermal conductivity enhancement in aperiodic superlattices discovered using active machine learning
Abstract While machine learning (ML) has shown increasing effectiveness in optimizing materials properties under known physics, its application in discovering new physics remains challenging due to its interpolative nature. In this work, we demonstrate a general-purpose adaptive ML-accelerated searc...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2022-01-01
|
| Schriftenreihe: | npj Computational Materials |
| Online-Zugang: | https://doi.org/10.1038/s41524-022-00701-1 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|