Amanda A. Howard

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Physical Systems

Diffuse Optical Tomography

Top Venues

J. Comput. Phys.

Publications

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 (2024)
Alexander Heinlein, Amanda A. Howard, Damien Beecroft, Panos Stinis
Multifidelity domain decomposition-based physics-informed neural networks for time-dependent problems. CoRR (2024)
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 (2024)
Amanda A. Howard, Yucheng Fu, Panos Stinis
A multifidelity approach to continual learning for physical systems. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna 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 (2022)
Amanda A. Howard, Mauro Perego, George E. Karniadakis, Panos Stinis
Multifidelity Deep Operator Networks. CoRR (2022)
Amanda A. Howard, Alexandre M. Tartakovsky
Physics-informed CoKriging model of a redox flow battery. CoRR (2021)
Amanda A. Howard, Alexandre M. Tartakovsky
-phase flows with a free-energy-based surface tension model. J. Comput. Phys. 426 (2021)
Brandon Reyes, Amanda A. Howard, Paris Perdikaris, Alexandre M. Tartakovsky
Learning Unknown Physics of non-Newtonian Fluids. CoRR (2020)
Amanda A. Howard, Alexandre M. Tartakovsky
Non-local model for surface tension in fluid-fluid simulations. J. Comput. Phys. 421 (2020)