Data-driven selection of stiff chemistry ODE solver in operator-splitting schemes
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Engineering, Energy↗
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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Data-Driven Methodology for Predicting Isotope Production at Material Testing Reactors
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Navarro, Jorge↗
Data-Driven Integration of High Fidelity Fluid Dynamics into Systems Codes for Design and Safety Applications
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22 GENERAL STUDIES OF NUCLEAR REACTORS↗
Predicting Arctic Sea Ice Concentration with Data-Driven Models.
Abstract not provided.
Peterson, Matthew Gregor↗
A UNIFIED DATA-DRIVEN framework for NONLOCAL OPERATORS: from local to nonlocal to fractional.
Abstract not provided.
D'Elia, Marta↗
Materials informatics: data-driven materials design and uncertainty quantification perspectives.
Abstract not provided.
Tran, Anh↗
Data-driven inferences for aerosol and marine low-cloud interactions using ship-based databases and open-source satellite imagery.
Abstract not provided.
Shand, Lyndsay↗
CycleFCN: A Physics-Informed Data-driven Seismic Waveform Inversion Method
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Computer Science↗
Physics-informed data assimilation and data-driven reduced order model
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Mathematics and Computing↗
Physics-Based Data-Driven Grid Modelling to Accelerate Accurate PV Integration.
Abstract not provided.
Reno, Matthew J.↗
Development and Demonstration of Data-driven Compact Device Models for Circuit Simulation and Analysis.
Abstract not provided.
Paskaleva, Biliana Stefanova↗
Physics-informed Data-driven Machine Learning Approach for Mesoscale Materials Science
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Pokharel, Reeju↗
Data-driven model generation for deception defence of cyber-physical environments
Cyber-physical systems have the potential to greatly improve both the economic and the environmental efficiency of our current infrastructure. However, the necessary fusing of the cyber world with the physical world that results from these technologies also creates a host of new attack opportunities. In this work, we discuss how deception can be employed to effectively defend these systems.
Nowak, Kathleen E.↗
Predictive Atomistic Simulations of Materials using SNAP Data-Driven Potentials.
Abstract not provided.
Thompson, Aidan P.↗