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Amanda A. Howard
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2020 – today
- 2024
- [i10]Alexander Heinlein, Amanda A. Howard, Damien Beecroft, Panos Stinis:
Multifidelity domain decomposition-based physics-informed neural networks for time-dependent problems. CoRR abs/2401.07888 (2024) - [i9]Amanda A. Howard, Bruno Jacob, Sarah H. Murphy, Alexander Heinlein, Panos Stinis:
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems. CoRR abs/2406.19662 (2024) - [i8]Wenqian Chen, Amanda A. Howard, Panos Stinis:
Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks. CoRR abs/2407.01613 (2024) - 2023
- [j4]QiZhi He
, Mauro Perego
, Amanda A. Howard, George Em Karniadakis, Panos Stinis:
A hybrid deep neural operator/finite element method for ice-sheet modeling. J. Comput. Phys. 492: 112428 (2023) - [j3]Amanda A. Howard
, Mauro Perego, George Em Karniadakis, Panos Stinis
:
Multifidelity deep operator networks for data-driven and physics-informed problems. J. Comput. Phys. 493: 112462 (2023) - [i7]QiZhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis:
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling. CoRR abs/2301.11402 (2023) - [i6]Amanda A. Howard, Yucheng Fu, Panos Stinis:
A multifidelity approach to continual learning for physical systems. CoRR abs/2304.03894 (2023) - [i5]Amanda A. Howard, Sarah H. Murphy, Shady E. Ahmed, Panos Stinis:
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks. CoRR abs/2311.06483 (2023) - 2022
- [i4]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:
Machine Learning in Heterogeneous Porous Materials. CoRR abs/2202.04137 (2022) - [i3]Amanda A. Howard
, Mauro Perego, George E. Karniadakis, Panos Stinis:
Multifidelity Deep Operator Networks. CoRR abs/2204.09157 (2022) - 2021
- [j2]Amanda A. Howard
, Alexandre M. Tartakovsky
:
A conservative level set method for N-phase flows with a free-energy-based surface tension model. J. Comput. Phys. 426: 109955 (2021) - [i2]Amanda A. Howard, Alexandre M. Tartakovsky:
Physics-informed CoKriging model of a redox flow battery. CoRR abs/2106.09188 (2021) - 2020
- [j1]Amanda A. Howard
, Alexandre M. Tartakovsky
:
Non-local model for surface tension in fluid-fluid simulations. J. Comput. Phys. 421: 109732 (2020) - [i1]Brandon Reyes, Amanda A. Howard, Paris Perdikaris, Alexandre M. Tartakovsky:
Learning Unknown Physics of non-Newtonian Fluids. CoRR abs/2009.01658 (2020)
Coauthor Index
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