<ul><li>MixFunn is a novel neural network architecture designed to solve differential equations with improved precision, interpretability, and generalization capability.</li><li>The architecture includes the mixed-function neuron and the second-order neuron, which enhance the representational flexibility and expressive power of the network.</li><li>MixFunn achieves comparable or superior results with significantly fewer parameters compared to conventional approaches.</li><li>It has been successfully applied in solving differential equations in classical mechanics, quantum mechanics, and fluid dynamics, showing higher accuracy and improved generalization beyond the training domain.</li></ul>

MixFunn: A Neural Network for Differential Equations with Improved Generalization and Interpretability

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