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Predicting physics without parameter tuning: A faster computational approach

Predicting physics without parameter tuning: A faster computational approach
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Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally expensive and complex. Researchers at University of Tsukuba have introduced a new method called the multiparameter eigenvalue-problem emulator, enabling reliable predictions based directly on relationships among known data by eliminating the need for parameter estimation. This in

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