Publications of Lihong Feng

Li, S., Feng, L., Benner, P., & Seidel-Morgenstern, A. (2014)Using Surrogate Models for Efficient Optimization of Simulated Moving Bed ChromatographyComputers and Chemical Engineering, 67, 121–132doi: 10.1016/j.compchemeng.2014.03.024.

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.

Feng, L., Benner, P., & Korvink, J. G. (2013)Subspace Recycling Accelerates the Parametric Macro‐modeling of MEMSInternational Journal for Numerical Methods in Engineering, 94 (1), 84–110doi: 10.1002/nme.4449.

Bechtold, T., Schrag, G., & Feng, L. (Eds.) (2013)System-level Modeling of MEMS10, 530 p.Weinheim: Wiley-VCHdoi: 10.1002/9783527647132.

Korvink, J., Poletkin, K., Deng, Y., & Feng, L. (2023)A digital twin for MEMS and NEMSSpringer Handbook of Semiconductor Devices, Part 4, Modeling1303–1334Cham: Springerdoi: 10.1007/978-3-030-79827-7.

Chellappa, S., Feng, L., & Benner, P. (2022)An Adaptive Sampling Approach for the Reduced Basis MethodRealization and Model Reduction of Dynamical Systems – A Festschrift in Honor of 70th Birthday of Thanos Antoulas137–155Cham: Springer International Publishingdoi: 10.1007/978-3-030-95157-3_8.

Benner, P. & Feng, L. (2021)Model Order Reduction based on Moment-MatchingModel Order Reduction: Volume 1: System- and Data-Driven Methods and Algorithms57–96Berlin, Boston: De Gruyterdoi: 10.1515/9783110498967-003.

Chellappa, S., Feng, L., de la Rubia, V., & Benner, P. (2021)Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter DomainModel Reduction of Complex Dynamical Systems97–117Cham: Birkhäuserdoi: 10.1007/978-3-030-72983-7_5.

Banagaaya, N., Feng, L., & Benner, P. (2019)Sparse (P)MOR for Electro-Thermal Coupled Problems with Many InputsNanoelectronic Coupled Problems Solutions311–328Cham: Springer International Publishingdoi: 10.1007/978-3-030-30726-4_14.

Feng, L. & Benner, P. (2019)Parametric Model Order Reduction for Electro-Thermal Coupled ProblemsNanoelectronic Coupled Problems Solutions293–309Cham: Springer International Publishingdoi: 10.1007/978-3-030-30726-4_13.

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.

Banagaaya, N., Feng, L., Schoenmaker, W., Meuris, P., Gillon, R., & Benner, P. (2018)Sparse Model Order Reduction for Electro-Thermal Problems with Many InputsScientific Computing in Electrical Engineering189–202Cham: Springer International Publishingdoi: 10.1007/978-3-319-75538-0_18.

Banagaaya, N., Benner, P., & Feng, L. (2017)Parametric Model Order Reduction for Electro-Thermal Coupled Problems with Many InputsProgress in Industrial Mathematics at ECMI 2016263–270Cham: Springer International Publishingdoi: 10.1007/978-3-319-63082-3_41.

Feng, L., Antoulas, A. C., & Benner, P. (2017)Automatic Generation of Reduced Order Models for Linear Parametric SystemsProgress in Industrial Mathematics at ECMI 2014811–818Cham: Springer International Publishingdoi: 10.1007/978-3-319-23413-7_113.

Janssen, H. H. J. M., Benner, P., Bittner, K., Brachtendorf, H.-G., Feng, L., ter Maten, E. J. W., Pulch, R., Schoenmaker, W., Schöps, S., & Tischendorf, C. (2017)The European Project nanoCOPS for Nanoelectronic Coupled Problems SolutionsProgress in Industrial Mathematics at ECMI 2014835–842Cham: Springer International Publishingdoi: 10.1007/978-3-319-23413-7_116.

Feng, L., Meuris, P., Schoenmaker, W., & Benner, P. (2016)Parametric and Reduced-Order Modeling for the Thermal Analysis of Nanoelectronic StructuresScientific Computing in Electrical Engineering155–163Cham: Springer International Publishingdoi: 10.1007/978-3-319-30399-4_16.

Benner, P., Breiten, T., & Feng, L. (2015)Matrix Equations and Model ReductionMatrix Functions and Matrix Equations50–75.

Benner, P., Feng, L., Li, S., & Zhang, Y. (2015)Reduced-Order Modeling and ROM-Based Optimization of Batch ChromatographyNumerical Mathematics and Advanced Applications - ENUMATH 2013427–435Cham: Springer International Publishingdoi: 10.1007/978-3-319-10705-9_42.

Benner, P. & Feng, L. (2014)A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment MatchingReduced Order Methods for Modeling and Computational Reduction159–185Cham: Springer International Publishingdoi: 10.1007/978-3-319-02090-7_6.

Feng, L., Benner, P., & Korvink, J. G. (2013)System-Level Modeling of MEMS by Means of Model Order Reduction (Mathematical Approximation) - Mathematical BackgroundSystem-level Modeling of MEMS53–93Weinheim: Wiley-VCHdoi: 10.1002/9783527647132.ch3.