Publikationen von Lihong Feng

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)

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)

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)

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)

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)

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)

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)

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)

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)

Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)

Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)

Sun, S.; Feng, L.; Benner, P.: Data-Augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities of Non-Intrusive Surrogate Models. (2024)

Sun, S.; Feng, L.; Chan, H. S.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)

Yue, Y.; Feng, L.; Benner, P.: An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. (2019)