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(2023). Accelerating the simulation of equation-based models by replacing non-linear algebraic loops with error-controlled machine learning surrogates. In D. Müller, A. Monti, &#38; A. Benigni (Eds.), <i>Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11</i> (Vol. 204, pp. 275–284). Aachen: Linköping University Electronic Press. <a href=\"https://doi.org/10.3384/ecp204275\">https://doi.org/10.3384/ecp204275</a>","chicago":"Heuermann, Andreas, Philip Hannebohm, Matthias Schäfer, and Bernhard Bachmann. “Accelerating the Simulation of Equation-Based Models by Replacing Non-Linear Algebraic Loops with Error-Controlled Machine Learning Surrogates.” In <i>Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11</i>, edited by Dirk  Müller, Antonello  Monti, and Andrea  Benigni, 204:275–84. Linköping Electronic Conference Proceedings. 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