Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Abstract Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques have fallen short of discovering the full differential equation of an experimental physical system. Here we show t...

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Veröffentlicht in:	Nature communications 2022-02, Vol.13 (1)
Hauptverfasser:	Chen, Xing, Araujo, Flavio Abreu, Riou, Mathieu, Torrejon, Jacob, Ravelosona, Dafiné, Kang, Wang, Zhao, Weisheng, Grollier, Julie, Querlioz, Damien
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics
Online-Zugang:	Volltext
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