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↗
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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↗
Data-Driven Closure Models (DDCMs)
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Pabon Cancel, Eric Javier [Sandia National Laborat↗