Publications of Yao Yue

Yue, Y., Feng, L., & Benner, P. (2019)Reduced-Order Modelling of Parametric Systems via Interpolation of Heterogeneous SurrogatesAdvanced Modeling and Simulation in Engineering Sciences, 6, 10, 33 pagesdoi: 10.1186/s40323-019-0134-y.

Feng, L., Yue, Y., Banagaaya, N., Meuris, P., Schoenmaker, W., & Benner, P. (2016)Parametric Modeling and Model Order Reduction for (Electro-)Thermal Analysis of Nanoelectronic StructuresJournal of Mathematics in Industry, 6 (1), 10, 16 pagesdoi: 10.1186/s13362-016-0030-8.

ter Maten, E. J. W., Putek, P., Günther, M., Pulch, R., Tischendorf, C., Strohm, C., Schoenmaker, W., Meuris, P., de Smedt, B., Benner, P., Feng, L., Banagaaya, N., Yue, Y., Janssen, R., Dohmen, J. J., Tasić, B., Deleu, F., Gillon, R., Wieers, A., Brachtendorf, H.-G., Bittner, K., Kratochvíl, T., Petřzela, J., Sotner, R., Göthans, T., Dřínovský, J., Schöps, S., Duque Guerra, D. J., Casper, T., De Gersem, H., Römer, U., Reynier, P., Barroul, P., Masliah, D., & Rousseau, B. (2016)Nanoelectronic COupled Problems Solutions - nanoCOPS: Modelling, Multirate, Model Order Reduction, Uncertainty Quantification, Fast Fault SimulationJournal of Mathematics in Industry, 7 (1), 2, 19 pagesdoi: 10.1186/s13362-016-0025-5.

Li, S., Yue, Y., Feng, L., Benner, P., & Seidel-Morgenstern, A. (2014)Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace MethodsAIChE-Journal, 60 (11), 3773–3783doi: 10.1002/aic.14561.

Yue, Y., Feng, L., Benner, P., Pulch, R., & Schöps, S. (2019)Reduced Models and Uncertainty QuantificationNanoelectronic Coupled Problems Solutions329–346Cham: Springer International Publishingdoi: 10.1007/978-3-030-30726-4_15.

Yue, Y., Feng, L., & Benner, P. (2019)An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of PolesIn: 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), 1–4doi: 10.1109/NEMO43056.2019.9247028.

Yue, Y., Feng, L., & Benner, P. (2018)Interpolation of Reduced-Order Models Based on Modal AnalysisIn: Proceedings of the 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, 1–4doi: 10.1109/NEMO.2018.8503114.

Yue, Y., Feng, L., Meuris, P., Schoenmaker, W., & Benner, P. (2015)Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit ModelsIn: Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015), 379–384doi: 10.17617/2.2223025.

Yue, Y., Feng, L., Seidel-Morgenstern, A., & Benner, P. (2014)Efficient Model Reduction of SMB Chromatography by Krylov-subspace Method with Application to Uncertainty QuantificationIn: 24th European Symposium on Computer Aided Process Engineering, 925–930doi: 10.1016/B978-0-444-63456-6.50155-1.

Yue, Y., Li, S., Feng, L., Seidel-Morgenstern, A., & Benner, P. (2014)Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear Dynamical SystemsIn: Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, 453–458doi: 10.1201/b17488-80.

Yue, Y., Feng, L., & Benner, P. (in press)An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models.