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Amanda A. Howard — most-cited papers & profile · AI for Science
← authors
·
overview
Amanda A. Howard
8
papers ·
39
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems
2024 · 15 citations
Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks
2024 · 10 citations
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems
2022 · 9 citations
Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems
2024 · 3 citations
SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks
2024 · 2 citations
Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets
2025
Bridging quantum and classical computing for partial differential equations through multifidelity machine learning
2025
Physics-informed CoKriging model of a redox flow battery
2021
Top co-authors
Panos Stinis
· 7
Alexander Heinlein
· 3
Bruno Jacob
· 2
Mauro Perego
· 2
Adrienne M. Propp
· 1
Alexandre M. Tartakovsky
· 1
Anthony Gruber
· 1
Bruno Jacob
· 1
Damien Beecroft
· 1
Daniel M. Tartakovsky
· 1
Eric C. Cyr
· 1
George E. Karniadakis
· 1
Topics
Physics ML
Math & Equations
Climate & Weather
Materials
Chemistry