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The document discusses the role of neural networks (NN) in enhancing chemical reaction dynamics through improved potential-energy surfaces (PES) for molecular dynamics (MD) and Monte Carlo (MC) simulations. It highlights how NN methods can reduce computational effort and statistical errors while increasing predictive accuracy in various chemical studies. The monograph serves as a comprehensive resource on the application of NN techniques in this field, providing both theoretical insights and practical examp

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honokaellenm0531

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