Towards a Data-Driven Understanding of Cross-team Collaboration.
Abstract not provided.
Wunrow, Newell↗
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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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DATA-DRIVEN STRESS INTENSITY FACTOR SOLUTIONS FOR AXIAL OUTSIDE SURFACE CRACKS IN THICK-WALL CYLINDERS
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ZHU, XIANKUI↗
A Data-driven Approach to Rethinking Open Source Software Organizations as a Team of Teams.
Abstract not provided.
Raybourn, Elaine M.↗
Coupled radiation-thermal Degradation of Polymeric Systems in Nuclear Plants: Data-driven Tools to Predict Damage Accumulation & Early Failures
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14 SOLAR ENERGY↗
Goal-oriented data-driven reduced-order modeling guided by hyper-differential sensitivity analysis.
Abstract not provided.
McQuarrie, Shane↗
Data-Driven Compact Modeling of Bipolar Junction Transistors with Recurrent Neural Networks.
Abstract not provided.
Source record↗
Learning Why: Data-Driven Causal Evaluations of Climate Models.
Abstract not provided.
Nichol, Jeffrey↗
Structure preserving machine learning for data-driven multiscale/multiphysics modeling.
Abstract not provided.
Trask, Nathaniel↗
IMoFi - Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration.
Abstract not provided.
Reno, Matthew↗
Certified data-driven physics-informed greedy auto-encoder simulator
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Mathematics and Computing↗
A Platform for the Next Generation of Data-driven, River- and Watershed-centric Modeling: Veins of the Earth
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Earth Sciences↗
Data-Driven Model for Fire Spread using Deep Neural Networks
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Mathematics↗
Data-driven approaches for understanding and forecasting well leakage
AGU Fall Meeting 2022, Chicago, IL, December 12-16, 2022
Pfander, Isabelle↗
Apparatus and method for safety analysis evaluation with data-driven workflow
An apparatus and method for system safety analysis evaluation is provided, the apparatus including processing circuitry configured for generating a calculation matrix for a system, generating a plurality of models based on the calculation matrix, performing a benchmarking or convolution analysis of the plurality of models, identifying a design envelope based on the benchmarking or convolution analysis, deriving uncertainty models from the benchmarking or convolution analysis, deriving an assessment judgment based on the uncertainty models and acceptance criteria, defining one or more limiting scenarios based on the design envelope, and determining a safety margin in at least one figure-of-merit for the system based on the design envelope and the acceptance criteria.
Martin, Robert P.↗
DATA-DRIVEN STRESS INTENSITY FACTOR SOLUTIONS FOR AXIAL OUTSIDE SURFACE CRACKS IN THIN-WALLED CYLINDERS
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DUNCAN, ANDREW J.↗
Data-Driven Methods for Voltage Regulator Identification and Tap Estimation.
Abstract not provided.
Azzolini, Joseph Anthony↗
Key challenges in adapting data-driven approaches to modeling of inertial fusion concepts.
Abstract not provided.
Lewis, William↗
Limitations for Data-driven Safeguards at Enrichment Facilities.
Abstract not provided.
Shoman, Nathan↗