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Ryan N. King
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2020 – today
- 2024
- [i6]Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy:
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine. CoRR abs/2407.19086 (2024) - 2023
- [i5]Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith:
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model. CoRR abs/2312.17329 (2023) - [i4]Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith:
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model. CoRR abs/2312.17336 (2023) - 2022
- [j1]Malik Hassanaly
, Andrew Glaws
, Karen Stengel
, Ryan N. King:
Adversarial sampling of unknown and high-dimensional conditional distributions. J. Comput. Phys. 450: 110853 (2022) - [i3]Subhayan De, Malik Hassanaly, Matthew J. Reynolds, Ryan N. King, Alireza Doostan:
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets. CoRR abs/2204.00997 (2022) - 2021
- [i2]Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King:
Adversarial sampling of unknown and high-dimensional conditional distributions. CoRR abs/2111.05962 (2021) - [i1]Malik Hassanaly, Andrew Glaws, Ryan N. King:
GANISP: a GAN-assisted Importance SPlitting Probability Estimator. CoRR abs/2112.15444 (2021)
2010 – 2019
- 2018
- [c1]Christiane Adcock
, Ryan N. King:
Data-Driven Wind Farm Optimization Incorporating Effects of Turbulence Intensity. ACC 2018: 695-700
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last updated on 2024-08-25 20:09 CEST by the dblp team
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