Abstract
We consider automatic parametric model order reduction for electro-thermal (ET) coupled problems arising from (nano-)microelectronic simulations. We show that the PMOR method based on multi-moment matching proposed in [2] can be applied to the discretized ET models. The error bound in [6] is used to check the accuracy of the reduced models. Based on the error bound, an adaptive algorithm for computing the reduced ET models is proposed in [7]. As a result, the reduced ET models are constructed automatically and reliably. This chapter reviews the PMOR method, the error bound, the adaptive algorithm, and their applications to ET models.
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Feng, L., Benner, P. (2019). Parametric Model Order Reduction for Electro-Thermal Coupled Problems. In: ter Maten, E., Brachtendorf, HG., Pulch, R., Schoenmaker, W., De Gersem, H. (eds) Nanoelectronic Coupled Problems Solutions. Mathematics in Industry(), vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-30726-4_13
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DOI: https://doi.org/10.1007/978-3-030-30726-4_13
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