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Hannah Lu
Hannah Lu
Postdoctoral Associate, CEE&AeroAstro, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Are college campuses superspreaders? A data-driven modeling study
H Lu, C Weintz, J Pace, D Indana, K Linka, E Kuhl
Computer Methods in Biomechanics and Biomedical Engineering 24 (10), 1136-1145, 2021
832021
Prediction accuracy of dynamic mode decomposition
H Lu, DM Tartakovsky
SIAM Journal on Scientific Computing 42 (3), A1639-A1662, 2020
582020
Lagrangian dynamic mode decomposition for construction of reduced-order models of advection-dominated phenomena
H Lu, DM Tartakovsky
Journal of Computational Physics 407, 109229, 2020
532020
An asymptotic-preserving stochastic Galerkin method for the radiative heat transfer equations with random inputs and diffusive scalings
S Jin, H Lu
Journal of Computational Physics 334, 182-206, 2017
302017
Efficient stochastic asymptotic-preserving implicit-explicit methods for transport equations with diffusive scalings and random inputs
S Jin, H Lu, L Pareschi
SIAM Journal on Scientific Computing 40 (2), A671-A696, 2018
212018
Fast uncertainty quantification of reservoir simulation with variational U-Net
L Jin, H Lu, G Wen
arXiv preprint arXiv:1907.00718, 2019
202019
Extended dynamic mode decomposition for inhomogeneous problems
H Lu, DM Tartakovsky
Journal of Computational Physics 444, 110550, 2021
122021
Dynamic mode decomposition for construction of reduced-order models of hyperbolic problems with shocks
H Lu, DM Tartakovsky
Journal of Machine Learning for Modeling and Computing 2 (1), 2021
112021
Data-informed emulators for multi-physics simulations
H Lu, D Ermakova, HM Wainwright, L Zheng, DM Tartakovsky
Journal of Machine Learning for Modeling and Computing 2 (2), 2021
102021
Machine learning in heterogeneous porous materials
M D'Elia, H Deng, C Fraces, K Garikipati, L Graham-Brady, A Howard, ...
arXiv preprint arXiv:2202.04137, 2022
72022
A high order stochastic asymptotic preserving scheme for chemotaxis kinetic models with random inputs
S Jin, H Lu, L Pareschi
Multiscale Modeling & Simulation 16 (4), 1884-1915, 2018
62018
DRIPS: A framework for dimension reduction and interpolation in parameter space
H Lu, DM Tartakovsky
Journal of Computational Physics 493, 112455, 2023
32023
Hybrid models of chemotaxis with application to leukocyte migration
H Lu, K Um, DM Tartakovsky
Journal of Mathematical Biology 82, 1-28, 2021
32021
Parsimonious models of in-host viral dynamics and immune response
H Lu, F Giannino, DM Tartakovsky
Applied Mathematics Letters 145, 108781, 2023
22023
Model reduction via dynamic mode decomposition
H Lu, DM Tartakovsky
arXiv preprint arXiv:2204.09590, 2022
22022
Global Sensitivity Analysis for U (VI) Transport for Integrating Coupled Thermal–Hydrological–Chemical Processes Models Into Performance Assessment Model
D Ermakova, H Wainwright, LG Zheng, I Shirley, H Lu
Journal of Nuclear Engineering and Radiation Science 7 (4), 041902, 2021
22021
Global sensitivity analysis for U (VI) transport for integrating coupled THC models into PA model
D Ermakova, H Wainwright, L Zheng, I Shirley, H Lu
12020
Fault Zone Fluid Migration and Induced Seismicity Potential in Geoenergy Technologies II Oral
LS Salgado, H Lu, S de Simone, JA Silva, L Bailey
AGU23, 2023
2023
Scientific Machine Learning for Surrogate Modeling, Parameter Identification and Transfer Learning of Multiphase Flows in Porous Media: Application to the FluidFlower CO2 …
R Juanes, H Lu, LS Salgado, E Haghighat
AGU23, 2023
2023
Uncertainty Quantification of CO2 Leakage and Risk Analysis of Induced Seismicity for Large-scale Geological CO2 Sequestration
H Lu, LS Salgado, Y Marzouk, R Juanes
AGU23, 2023
2023
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