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Conditional physics informed neural networks
The concept of PINNs is expanded to learn not only the solution of one particular differential equation but the solutions to a class of problems.
Extracting local switching fields in permanent magnets using machine learning
Microstructural features play an important role for the quality of permanent magnets.
Learning magnetization dynamics
Deep neural networks are used to model the magnetization dynamics in magnetic thin film elements.
Materials Science Computational Physics
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