A conservative level set method for N-phase flows with a free-energy-based surface tension model
Howard, Amanda A., Tartakovsky, Alexandre M.
Published in Journal of computational physics (01.02.2021)
Published in Journal of computational physics (01.02.2021)
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Journal Article
Non-local model for surface tension in fluid-fluid simulations
Howard, Amanda A., Tartakovsky, Alexandre M.
Published in Journal of computational physics (15.11.2020)
Published in Journal of computational physics (15.11.2020)
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Journal Article
Machine learning methods for particle stress development in suspension Poiseuille flows
Howard, Amanda A., Dong, Justin, Patel, Ravi, D’Elia, Marta, Maxey, Martin R., Stinis, Panos
Published in Rheologica acta (01.10.2023)
Published in Rheologica acta (01.10.2023)
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Journal Article
Multifidelity deep operator networks for data-driven and physics-informed problems
Howard, Amanda A., Perego, Mauro, Karniadakis, George Em, Stinis, Panos
Published in Journal of computational physics (15.11.2023)
Published in Journal of computational physics (15.11.2023)
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Journal Article
Physics-informed CoKriging model of a redox flow battery
Howard, Amanda A., Yu, Tong, Wang, Wei, Tartakovsky, Alexandre M.
Published in Journal of power sources (15.09.2022)
Published in Journal of power sources (15.09.2022)
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Journal Article
Non-local model for surface tension in fluid-fluid simulations
Howard, Amanda A., Tartakovsky, Alexandre M.
Published in Journal of computational physics (01.11.2020)
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Published in Journal of computational physics (01.11.2020)
Journal Article
A hybrid deep neural operator/finite element method for ice-sheet modeling
He, QiZhi, Perego, Mauro, Howard, Amanda A., Karniadakis, George Em, Stinis, Panos
Published in Journal of computational physics (01.11.2023)
Published in Journal of computational physics (01.11.2023)
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Journal Article
Computational studies of impurity migration during induction stirring of molten uranium
Singh, Rajesh K., Corbey, Jordan F., Deshmukh, Nikhil S., Howard, Amanda A., Frazier, William E., Hu, Shenyang, Abrecht, David G.
Published in Computational materials science (05.10.2023)
Published in Computational materials science (05.10.2023)
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Journal Article
Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems
Heinlein, Alexander, Howard, Amanda A, Beecroft, Damien, Stinis, Panos
Year of Publication 15.01.2024
Year of Publication 15.01.2024
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Journal Article
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems
Howard, Amanda A, Perego, Mauro, Karniadakis, George E, Stinis, Panos
Published in arXiv.org (21.11.2023)
Published in arXiv.org (21.11.2023)
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Paper
Journal Article
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems
Howard, Amanda A, Jacob, Bruno, Murphy, Sarah H, Heinlein, Alexander, Stinis, Panos
Year of Publication 28.06.2024
Year of Publication 28.06.2024
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Journal Article