Hannah Lu

According to our database, Hannah Lu authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Efficient data-driven regression for reduced-order modeling of spatial pattern formation.

Alessandro Alla, Rudy Geelen, Hannah Lu

CoRR, August, 2025

2024

Data-driven models of nonautonomous systems.

Hannah Lu, Daniel M. Tartakovsky

J. Comput. Phys., 2024

2023

DRIPS: A framework for dimension reduction and interpolation in parameter space.

Hannah Lu, Daniel M. Tartakovsky

J. Comput. Phys., November, 2023

Parsimonious models of in-host viral dynamics and immune response.

Hannah Lu, Francesco Giannino, Daniel M. Tartakovsky

Appl. Math. Lett., November, 2023

Learning Nonautonomous Systems via Dynamic Mode Decomposition.

Hannah Lu, Daniel M. Tartakovsky

CoRR, 2023

2022

Model Reduction via Dynamic Mode Decomposition.

Hannah Lu, Daniel M. Tartakovsky

CoRR, 2022

Machine Learning in Heterogeneous Porous Materials.

Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna C. Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki

CoRR, 2022

2021

Extended dynamic mode decomposition for inhomogeneous problems.

Hannah Lu, Daniel M. Tartakovsky

J. Comput. Phys., 2021

2020

Prediction Accuracy of Dynamic Mode Decomposition.

Hannah Lu, Daniel M. Tartakovsky

SIAM J. Sci. Comput., 2020

Lagrangian dynamic mode decomposition for construction of reduced-order models of advection-dominated phenomena.

Hannah Lu, Daniel M. Tartakovsky

J. Comput. Phys., 2020

Dynamic Mode Decomposition for Construction of Reduced-Order Models of Hyperbolic Problems with Shocks.

Hannah Lu, Daniel M. Tartakovsky

CoRR, 2020