Data-Driven Methods for Ocean Surface Wave Measurements in the Coastal Arctic Using Submarine Fiber Optic Cables
Presentation to Waves in Sea Environments (WISE) Meeting
Davis, Jacob [University of Washington - Seattle]↗
SEARCH · Engineering Papers
Results for “Data driven”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Minimally Intrusive Data-Driven Approximation of Schur Complement-based Coupling Operators for Heterogeneous Numerical Methods
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de Castro, Amy Grace [Sandia National Laboratories↗
Overview on Multi-Fidelity Data-Driven Strategies
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Thatcher, Jacqueline Margaret [Sandia National Lab↗
Data-driven Compact Models for Devices and Circuits: A System Identification Approach for Non-intrusive Reduced Order Modeling of Normal and Radiation Environments in Microelectronics
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Bochev, Pavel B. [Sandia National Laboratories (SN↗
Development and Validation of a Dynamic Data-Driven Device Compact Model
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Buchheit, Thomas Edward [Sandia National Laborator↗
Gray box photocurrent models: a data-driven approach for compact radiation modeling
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Bochev, Pavel B. [Sandia National Laboratories (SN↗
Data-driven plastic anisotropy characterization using crystal plasticity and deep learning models
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Lim, Hojun [Sandia National Laboratories (SNL-NM),↗
Robust Data-Driven Predictive Run-To-Run Control for Automated Serial Sectioning
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Oakley, Rhianna Mirasol [Sandia National Laborator↗
Data-driven Coupled Neural Operator Approach to Model Ice-sheet Dynamics
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Rodriguez Claudio, Dario Alexander [Sandia Nationa↗
Data-Driven Techno-Economic and Resilience Analysis of Community Energy Storage
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Trevizan, Rodrigo Daniel↗
Data-Driven Surrogate Models for Wildfires: Inference and Outer-Loop Analysis
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Morrow, Zachary Benjamin [Sandia National Laborato↗
Towards Trustworthy Data-Driven Closure Models - Incorporating Input and Output Uncertainties in Neural Networks
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Smith, Paul Andrew [Sandia National Laboratories (↗
A data-driven quantification of damage evolution cause by voids in polycrystalline materials
This is the presentation I will give at COMPLAS 2025 conference highlighting our latest advancements in integrating deep learning for for quantification of damage.
Montes de Oca Zapiain, David [Sandia National Labo↗
Data-Driven Closure Models (DDCMs)
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Pabon Cancel, Eric Javier [Sandia National Laborat↗
Towards data-driven construction of transport maps from multifidelity information
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Davis, Owen Nicholas [Sandia National Laboratories↗
Learning turbulence with machines: data-driven closures and generative models
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general physics↗
Improving DER Capacity Analysis with Data-Driven Methods
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Reno, Matthew J. [Sandia National Laboratories (SN↗
Data-Driven Closure Models (DDCMs)
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Pabon Cancel, Eric Javier [Sandia National Laborat↗