Enhancing magnetocaloric material discovery: A machine learning approach using an autogenerated database by large language models

Magnetic cooling based on the magnetocaloric effect is a promising solid-state refrigeration technology for a wide range of applications in different temperature ranges. Previous studies have mostly focused on near room temperature (300 K) and cryogenic temperature (

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Bibliographische Detailangaben
Veröffentlicht in:	AIP advances 2024-08, Vol.14 (8), p.085125-085125-11
Hauptverfasser:	Yuan, Jiaoyue, Yang, Runqing, Patra, Lokanath, Liao, Bolin
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemical composition Chemical compounds Cryogenic temperature Curie temperature Functional materials Large language models Liquefaction Machine learning Magnetic cooling Magnetic materials Magnetic properties Material properties Room temperature Spin dynamics Temperature
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Magnetic cooling based on the magnetocaloric effect is a promising solid-state refrigeration technology for a wide range of applications in different temperature ranges. Previous studies have mostly focused on near room temperature (300 K) and cryogenic temperature (
ISSN:	2158-3226
DOI:	10.1063/5.0206855