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Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Engineering and Technology

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

X. Chen, F. A. Araujo, et al.

Discover the groundbreaking research by Xing Chen, Flavio Abreu Araujo, and their team, showcasing the use of Neural Ordinary Differential Equations (NODEs) to revolutionize spintronic device simulations. Their innovative approach offers over 200 times acceleration compared to traditional methods, making it a game-changer in the field.

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