Publikationen von Lihong Feng

Li, S.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Using Surrogate Models for Efficient Optimization of Simulated Moving Bed Chromatography. Computers and Chemical Engineering 67, S. 121 - 132 (2014)

Li, S.; Yue, Y.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace Methods. AIChE-Journal 60 (11), S. 3773 - 3783 (2014)

Feng, L.; Benner, P.; Korvink, J. G.: Subspace Recycling Accelerates the Parametric Macro‐modeling of MEMS. International Journal for Numerical Methods in Engineering 94 (1), S. 84 - 110 (2013)

Bechtold, T.; Schrag, G.; Feng, L. (Hg.): System-level Modeling of MEMS. Wiley-VCH, Weinheim (2013), 530 S.

Korvink, J.; Poletkin, K.; Deng, Y.; Feng, L.: A digital twin for MEMS and NEMS. In: Springer Handbook of Semiconductor Devices, Part 4, Modeling, S. 1303 - 1334 (Hg. Rudan, M.; Brunetti, R.; Reggiani, S.). Springer, Cham (2023)

Chellappa, S.; Feng, L.; Benner, P.: An Adaptive Sampling Approach for the Reduced Basis Method. In: Realization and Model Reduction of Dynamical Systems – A Festschrift in Honor of 70th Birthday of Thanos Antoulas, S. 137 - 155 (Hg. Beattie, C.; Benner, P.; Embree, M.; Gugercin, S.; Lefteriu, S.). Springer International Publishing, Cham (2022)

Benner, P.; Feng, L.: Model Order Reduction based on Moment-Matching. In: Model Order Reduction: Volume 1: System- and Data-Driven Methods and Algorithms, S. 57 - 96 (Hg. Benner, P.; Grivet-Talocia, S.; Quarteroni, A.; Rozza, G.; Schilders, W. et al.). De Gruyter, Berlin, Boston (2021)

Chellappa, S.; Feng, L.; de la Rubia, V.; Benner, P.: Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain. In: Model Reduction of Complex Dynamical Systems, S. 97 - 117 (Hg. Benner, P.; Breiten, T.; Faßbender, H.; Hinze, M.; Stykel, T. et al.). Birkhäuser, Cham (2021)

Banagaaya, N.; Feng, L.; Benner, P.: Sparse (P)MOR for Electro-Thermal Coupled Problems with Many Inputs. In: Nanoelectronic Coupled Problems Solutions, S. 311 - 328 (Hg. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaker, W.; De Gersem, H.). Springer International Publishing, Cham (2019)

Feng, L.; Benner, P.: Parametric Model Order Reduction for Electro-Thermal Coupled Problems. In: Nanoelectronic Coupled Problems Solutions, S. 293 - 309 (Hg. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaker, W.; De Gersem, H.). Springer International Publishing, Cham (2019)

Yue, Y.; Feng, L.; Benner, P.; Pulch, R.; Schöps, S.: Reduced Models and Uncertainty Quantification. In: Nanoelectronic Coupled Problems Solutions, S. 329 - 346 (Hg. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaker, W.; De Gersem, H.). Springer International Publishing, Cham (2019)

Banagaaya, N.; Feng, L.; Schoenmaker, W.; Meuris, P.; Gillon, R.; Benner, P.: Sparse Model Order Reduction for Electro-Thermal Problems with Many Inputs. In: Scientific Computing in Electrical Engineering, S. 189 - 202 (Hg. Langer, U.; Amrhein, W.; Zulehner, W.). Springer International Publishing, Cham (2018)

Banagaaya, N.; Benner, P.; Feng, L.: Parametric Model Order Reduction for Electro-Thermal Coupled Problems with Many Inputs. In: Progress in Industrial Mathematics at ECMI 2016, S. 263 - 270 (Hg. Quintela, P.; Barral, P.; Gómez, D.; Pena, F. J.; Rodríguez, J. et al.). Springer International Publishing, Cham (2017)

Feng, L.; Antoulas, A. C.; Benner, P.: Automatic Generation of Reduced Order Models for Linear Parametric Systems. In: Progress in Industrial Mathematics at ECMI 2014, S. 811 - 818 (Hg. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)

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.: The European Project nanoCOPS for Nanoelectronic Coupled Problems Solutions. In: Progress in Industrial Mathematics at ECMI 2014, S. 835 - 842 (Hg. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)

Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Parametric and Reduced-Order Modeling for the Thermal Analysis of Nanoelectronic Structures. In: Scientific Computing in Electrical Engineering, S. 155 - 163 (Hg. Bartel, A.; Clemens, M.; Günther, M.; ter Maten, E. J. W.). Springer International Publishing, Cham (2016)

Benner, P.; Breiten, T.; Feng, L.: Matrix Equations and Model Reduction. In: Matrix Functions and Matrix Equations, S. 50 - 75 (Hg. Bai, Z.; Gao, W.; Su, Y.). World Scientific Publishing, Singapore (2015)

Benner, P.; Feng, L.; Li, S.; Zhang, Y.: Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography. In: Numerical Mathematics and Advanced Applications - ENUMATH 2013, S. 427 - 435 (Hg. Abdulle, A.; Deparis, S.; Kressner, D.; Nobile, F.; Picasso, M.). Springer International Publishing, Cham (2015)

Benner, P.; Feng, L.: A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching. In: Reduced Order Methods for Modeling and Computational Reduction, S. 159 - 185 (Hg. Quarteroni, A.; Rozza, G.). Springer International Publishing, Cham (2014)

Feng, L.; Benner, P.; Korvink, J. G.: System-Level Modeling of MEMS by Means of Model Order Reduction (Mathematical Approximation) - Mathematical Background. In: System-level Modeling of MEMS, S. 53 - 93 (Hg. Bechtold, T.; Schrag, G.; Feng, L.). Wiley-VCH, Weinheim (2013)