Enhancing Structure–Property Relationships in Porous Materials through Transfer Learning and Cross-Material Few-Shot Learning

Porous materials have emerged as promising solutions for a wide range of energy and environmental applications. However, the asymmetric development in the field of metal-organic frameworks (MOFs) has led to a data imbalance when it comes to MOFs versus other porous materials such as covalent organic...

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Veröffentlicht in:	ACS applied materials & interfaces 2023-12, Vol.15 (48), p.56375-56385
Hauptverfasser:	Park, Hyunsoo, Kang, Yeonghun, Kim, Jihan
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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