Book Chapter (16)

51.
Book Chapter
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, pp. 189 - 202 (Eds. Langer, U.; Amrhein, W.; Zulehner, W.). Springer International Publishing, Cham (2018)
52.
Book Chapter
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, pp. 263 - 270 (Eds. Quintela, P.; Barral, P.; Gómez, D.; Pena, F. J.; Rodríguez, J. et al.). Springer International Publishing, Cham (2017)
53.
Book Chapter
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, pp. 811 - 818 (Eds. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)
54.
Book Chapter
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, pp. 835 - 842 (Eds. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)
55.
Book Chapter
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, pp. 155 - 163 (Eds. Bartel, A.; Clemens, M.; Günther, M.; ter Maten, E. J. W.). Springer International Publishing, Cham (2016)
56.
Book Chapter
Benner, P.; Breiten, T.; Feng, L.: Matrix Equations and Model Reduction. In: Matrix Functions and Matrix Equations, pp. 50 - 75 (Eds. Bai, Z.; Gao, W.; Su, Y.). World Scientific Publishing, Singapore (2015)
57.
Book Chapter
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, pp. 427 - 435 (Eds. Abdulle, A.; Deparis, S.; Kressner, D.; Nobile, F.; Picasso, M.). Springer International Publishing, Cham (2015)
58.
Book Chapter
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, pp. 159 - 185 (Eds. Quarteroni, A.; Rozza, G.). Springer International Publishing, Cham (2014)
59.
Book Chapter
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, pp. 53 - 93 (Eds. Bechtold, T.; Schrag, G.; Feng, L.). Wiley-VCH, Weinheim (2013)

Conference Paper (15)

60.
Conference Paper
Mattucci, E.; Feng, L.; Benner, P.; Romano, D.; Antonini, G.: Fast Frequency-Domain Analysis for Parametric Electromagnetic Models Using Deep Learning. In: 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS). IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), Milpitas, CA, USA, October 15, 2023 - October 18, 2023. (2023)
61.
Conference Paper
Feng, L.; Lombardi, L.; Antonini, G.; Benner, P.: Stable Macromodels for Delayed PEEC Models with Error Estimation. In: 2021 International Applied Computational Electromagnetics Society Symposium (ACES), pp. 1 - 4. 2021 International Applied Computational Electromagnetics Society Symposium (ACES), Hamilton, ON, Canada, August 01, 2021 - August 05, 2021. IEEE (2021)
62.
Conference Paper
Feng, L.; Benner, P.: Efficient Error Estimator for Model Order Reduction of Linear Parametric Systems. In: IEEE MTT-S International Microwave Symposium (IMS), pp. 346 - 349. IEEE MTT-S International Microwave Symposium (IMS) , Boston, USA, June 02, 2019 - June 07, 2019. (2019)
63.
Conference Paper
Yue, Y.; Feng, L.; Benner, P.: An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of Poles. In: 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), pp. 1 - 4. 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), Boston, USA, May 29, 2019 - May 31, 2019. IEEE (2019)
64.
Conference Paper
Yue, Y.; Feng, L.; Benner, P.: Interpolation of Reduced-Order Models Based on Modal Analysis. In: Proceedings of the 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, pp. 1 - 4. 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Reykjavik, Ireland, August 08, 2018 - August 10, 2018. (2018)
65.
Conference Paper
Banagaaya, N.; Feng, L.; Schoenmaker, W.; Meuris, P.; Wieers, A.; Gillon, R.; Benner, P.: Model Order Reduction for Nanoelectronics Coupled Problems with Many Inputs. In: Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 313 - 318. 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE 2016), Dresden, Germany, March 14, 2016 - March 18, 2016. (2016)
66.
Conference Paper
Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Nonlinear Model Order Reduction for Catalytic Tubular Reactors. In: 26th European Symposium on Computer Aided Process Engineering, pp. 2373 - 2378. 26th European Symposium on Computer Aided Process Engineering - ESCAPE 26, Portorož, Slovenia, June 12, 2016 - June 15, 2016. (2016)
67.
Conference Paper
Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. In: Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering: Volume II, pp. 4187 - 4195 (Eds. Papadrakakis, M.; Papadopoulos, V.; Stefanou, G.; Plevris, V.). VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, June 05, 2016 - June 10, 2016. National Technical University of Athens (NTUA), Athens, Greece (2016)
68.
Conference Paper
Ahmad, M. I.; Benner, P.; Feng, L.: A New Interpolatory Model Reduction Approach for Quadratic Bilinear Descriptor Systems. 86th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Lecce, Italy, March 23, 2015 - March 27, 2015. Proceedings in Applied Mathematics and Mechanics 15 (1), pp. 589 - 590 (2015)
69.
Conference Paper
Yue, Y.; Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models. In: Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015), pp. 379 - 384. 36th Progress In Electromagnetics Research Symposium, Prague, Czech Republic, July 06, 2015 - July 09, 2015. (2015)
70.
Conference Paper
Bechtold, T.; Schrag, G.; Feng, L.: Enabling technologies for system-level simulation of MEMS. In: Electronics System-Integration Technology Conference (ESTC), 2014, pp. 1 - 6. Electronics System-Integration Technology Conference (ESTC 2014), Helsinki, Finland, September 16, 2014 - September 18, 2014. (2014)
71.
Conference Paper
Yue, Y.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Efficient Model Reduction of SMB Chromatography by Krylov-subspace Method with Application to Uncertainty Quantification. In: 24th European Symposium on Computer Aided Process Engineering, pp. 925 - 930. 24th European Symposium on Computer Aided Process Engineering - ESCAPE, Budapest, Ungarn, June 15, 2014 - June 18, 2014. (2014)
72.
Conference Paper
Yue, Y.; Li, S.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear Dynamical Systems. In: Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, pp. 453 - 458. 4th International Conference on Engineering Optimization, Lisbon, Portugal, September 08, 2014 - September 11, 2014. (2014)
73.
Conference Paper
Bechtold, T.; Schrag, G.; Feng, L.: Enabling technologies for system-level simulation of MEMS. In: Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), pp. 1 - 6. EuroSimE 2013 - 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, Wroclaw, Poland, April 14, 2013 - April 17, 2013. (2013)
74.
Conference Paper
Li, S.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Efficient Optimization of Simulated Moving Bed Processes Using Reduced Order Models. In: 22nd European Symposium on Computer Aided Process Engineering, pp. 1232 - 1236 (Eds. Bogle, D. L.; Fairweather, M.). ESCAPE 22 - 22nd European Symposium on Computer Aided Process Engineering, London, UK, June 17, 2012 - June 20, 2012. (2012)

Meeting Abstract (2)

75.
Meeting Abstract
Banagaaya, N.; Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Model Order Reduction of an Electro-Thermal Package Model. In IFAC-PapersOnLine, 48 (1), pp. 934 - 935. 8th Vienna International Conference on Mathematical Modelling, Vienna, Austria, February 18, 2015 - February 20, 2015. (2015)
76.
Meeting Abstract
Zhang, Y.; Feng, L.; Li, S.: An Efficient Output Error Bound for Model Order Reduction of Parametrized Evolution Equations. In IFAC-PapersOnLine, 48 (1), pp. 9 - 10. 8th Vienna International Conference on Mathematical Modelling MATHMOD, Vienna, Austria, February 18, 2015 - February 20, 2015. (2015)

Talk (9)

77.
Talk
Sun, S.; Feng, L.; Chan, H. S.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric dynamic mode decomposition for nonlinear parametric dynamical systems. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Aachen, Germany (2022)
78.
Talk
Sun, S.; Feng, L.; Chan, H. S.; Röder, F.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric dynamic mode decomposition for nonlinear parametric dynamical systems. Model Reduction and Surrogate Modeling (MORE), Berlin, Germany (2022)
79.
Talk
Kweyu, C. M.; Feng, L.; Stein, M.; Benner, P.: Fast solution of the Poisson-Boltzmann equation by the reduced basis method and range-separated canonical tensor format. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)
80.
Talk
Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Towards Fast Optimal Control of CO2Methanation Reactors via POD-DEIM. MODRED 2017, Odense, Denmark (2017)
81.
Talk
Kweyu, C. M.; Feng, L.; Stein, M.; Benner, P.: Reduced basis method for Poisson-Boltzmann equation. 3rd Workshop on Model Reduction of Complex Dynamical Systems (MODRED 2017), Odense, Denmark (2017)
82.
Talk
Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Reduced Order Modeling and Optimization of CO2 Methanation Reactors. ALOP Workshop: Reduced Order Models in Optimization, Trier, Germany (2016)
83.
Talk
Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Reduced Order Modeling and Optimization of CO2 Methanation Reactors. Workshop on Optimal and Feedback Control of Differential Equations, Konstanz, Germany (2016)
84.
Talk
Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece (2016)
85.
Talk
Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. Reduced Basis Summer School 2016, Hedersleben, Germany (2016)

Poster (1)

86.
Poster
Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Optimization and Reduced Order Modeling of CO2 Methanation Reactors. KoMSO Challenge Workshop "Reduced-Order Modeling for Simulation and Optimization"​, Renningen, Germany (2016)

Preprint (3)

87.
Preprint
Zuyev, A.; Feng, L.; Benner, P.: Estimates of the Kolmogorov n-Width for Nonlinear Transformations with Application to Distributed-Parameter Control Systems. (2024)
88.
Preprint
Sun, S.; Feng, L.; Chan, H. S.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)
89.
Preprint
Yue, Y.; Feng, L.; Benner, P.: An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. (2019)
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