Zobrazeno 1 - 10
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pro vyhledávání: '"King, Ryan P."'
As urbanization and climate change progress, urban heat becomes a priority for climate adaptation efforts. High temperatures concentrated in urban heat can drive increased risk of heat-related death and illness as well as increased energy demand for
Externí odkaz:
http://arxiv.org/abs/2411.05952
Machine learning has revolutionized the modeling of clinical timeseries data. Using machine learning, a Deep Neural Network (DNN) can be automatically trained to learn a complex mapping of its input features for a desired task. This is particularly v
Externí odkaz:
http://arxiv.org/abs/2410.09199
Autor:
Benton, Brandon N., Buster, Grant, Pinchuk, Pavlo, Glaws, Andrew, King, Ryan N., Maclaurin, Galen, Chernyakhovskiy, Ilya
With an increasing share of the electricity grid relying on wind to provide generating capacity and energy, there is an expanding global need for historically accurate high-resolution wind data. Conventional downscaling methods for generating these d
Externí odkaz:
http://arxiv.org/abs/2407.19086
Autor:
Egan, Hilary, Griffin, Kevin Patrick, de Frahan, Marc T. Henry, Mueller, Juliane, Vaidhynatha, Deepthi, Wald, Dylan, Chintala, Rohit, Doronina, Olga A., King, Ryan, Sanyal, Jibonananda, Day, Marc
Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are allocated over successive batches, which makes the allocation adaptiv
Externí odkaz:
http://arxiv.org/abs/2404.00053
Autor:
Hassanaly, Malik, Weddle, Peter J., King, Ryan N., De, Subhayan, Doostan, Alireza, Randall, Corey R., Dufek, Eric J., Colclasure, Andrew M., Smith, Kandler
Publikováno v:
Journal of Energy Storage, Volume 98, Part B, 2024, 113104
Bayesian parameter inference is useful to improve Li-ion battery diagnostics and can help formulate battery aging models. However, it is computationally intensive and cannot be easily repeated for multiple cycles, multiple operating conditions, or mu
Externí odkaz:
http://arxiv.org/abs/2312.17336
Autor:
Hassanaly, Malik, Weddle, Peter J., King, Ryan N., De, Subhayan, Doostan, Alireza, Randall, Corey R., Dufek, Eric J., Colclasure, Andrew M., Smith, Kandler
Publikováno v:
Journal of Energy Storage, Volume 98, Part B, 2024, 113103
To plan and optimize energy storage demands that account for Li-ion battery aging dynamics, techniques need to be developed to diagnose battery internal states accurately and rapidly. This study seeks to reduce the computational resources needed to d
Externí odkaz:
http://arxiv.org/abs/2312.17329
Within the intensive care unit (ICU), a wealth of patient data, including clinical measurements and clinical notes, is readily available. This data is a valuable resource for comprehending patient health and informing medical decisions, but it also c
Externí odkaz:
http://arxiv.org/abs/2312.06855
With the growing size and complexity of turbulent flow models, data compression approaches are of the utmost importance to analyze, visualize, or restart the simulations. Recently, in-situ autoencoder-based compression approaches have been proposed a
Externí odkaz:
http://arxiv.org/abs/2210.09262
Autor:
King, Ryan P.
Chapter 1. Pharmaceutical Diversification via Palladium Oxidative Addition Complexes Palladium-catalyzed cross-coupling reactions have transformed the exploration of chemical space in the search for materials, medicines, chemical probes, and other fu
Externí odkaz:
https://hdl.handle.net/1721.1/139499
Recent advances in modeling large-scale complex physical systems have shifted research focuses towards data-driven techniques. However, generating datasets by simulating complex systems can require significant computational resources. Similarly, acqu
Externí odkaz:
http://arxiv.org/abs/2204.00997