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AH

Amanda Howard

cs.LGcs.NAmath.NAphysics.comp-phphysics.flu-dyncs.AIphysics.chem-phstat.MLcond-mat.mtrl-scicond-mat.soft

On Valency

published · living versions
W_u8dtnwrm·v1 · currentpublished

Preprints & journals

23 papers in the corpus · 2019–2026
SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks2603.18548v1 · Amanda A. Howard, Nicholas Zolman, Bruno Jacob et al.2026 · 0 citationsarXiv
Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets2512.01888v1 · Adrienne M. Propp, Mauro Perego, Eric C. Cyr et al.2025 · 0 citationsarXiv
Self-adaptive weighting and sampling for physics-informed neural networks2511.05452v2 · Wenqian Chen, Amanda Howard, Panos Stinis2025 · 7 citationsarXiv
E-PINNs: Epistemic Physics-Informed Neural Networks2503.19333v2 · Bruno Jacob, Ashish S. Nair, Amanda A. Howard et al.2025 · 1 citationarXiv
Toward a Machine Learning Approach to Interpreting X-ray Spectra of Trace Impurities by Converting XANES to EXAFS.39718448 · Prange, Micah P, Govind, Niranjan, Stinis, Panos et al.2025 · 7 citationsThe journal of physical chemistry. A. 2025;129(1):346-355
SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks2411.06286v1 · Bruno Jacob, Amanda A. Howard, Panos Stinis2024 · 14 citationsarXiv
Multifidelity Kolmogorov-Arnold Networks2410.14764v1 · Amanda A. Howard, Bruno Jacob, Panos Stinis2024 · 7 citationsarXiv
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems2406.19662v2 · Amanda A. Howard, Bruno Jacob, Sarah Helfert et al.2024 · 18 citationsarXiv
Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks2407.01613v2 · Wenqian Chen, Amanda A. Howard, Panos Stinis2024 · 42 citationsJ. Comput. Phys., 542 (2025) 114226
Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems2401.07888v2 · Alexander Heinlein, Amanda A. Howard, Damien Beecroft et al.2024 · 9 citationsarXiv
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks2311.06483v2 · Amanda A Howard, Sarah H Murphy, Shady E Ahmed et al.2023 · 12 citationsarXiv
A multifidelity approach to continual learning for physical systems2304.03894v2 · Amanda Howard, Yucheng Fu, Panos Stinis2023 · 14 citationsarXiv
Hydrodynamic irreversibility of non-Brownian suspensions in highly confined duct flow2302.10380v3 · John T. Antolik, Amanda Howard, Fernando Vereda et al.2023 · 1 citationarXiv
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling2301.11402v1 · QiZhi He, Mauro Perego, Amanda A. Howard et al.2023 · 21 citationsarXiv
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems2204.09157v2 · Amanda A. Howard, Mauro Perego, George E. Karniadakis et al.2022 · 83 citationsarXiv
Machine Learning in Heterogeneous Porous Materials2202.04137v1 · Marta D'Elia, Hang Deng, Cedric Fraces et al.2022 · 11 citationsarXiv
Physics-informed CoKriging model of a redox flow battery2106.09188v1 · Amanda A. Howard, Alexandre M. Tartakovsky2021 · 23 citationsarXiv
Learning Unknown Physics of non-Newtonian Fluids2009.01658v1 · Brandon Reyes, Amanda A. Howard, Paris Perdikaris et al.2020 · 74 citationsPhys. Rev. Fluids 6, 073301 (2021)
Non-local model for surface tension in fluid-fluid simulations1906.10153v2 · Amanda A. Howard, Alexandre M. Tartakovsky2019 · 6 citationsarXiv
Analytical steady-state solutions for pressure with a multiscale non-local model for two-fluid systems1905.08052v2 · Amanda A. Howard, Yongcheng Zhou, Alexandre M. Tartakovsky2019 · 1 citationarXiv
Career total: 48 works. 23 are in this corpus.

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