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Physics-Informed Machine Learning for Surrogate Modeling of Heat Transfer Phenomena
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we propose a sparse modeling method for automatically creating a surrogate model for nonlinear time-variant systems from a very small number of time series data with nonconstant time steps. We developed three ...
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