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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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CycleFCN: A Physics-Informed Data-driven Seismic Waveform Inversion Method
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Physics-informed data assimilation and data-driven reduced order model
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Physics-Based Data-Driven Grid Modelling to Accelerate Accurate PV Integration.
Abstract not provided.
Development and Demonstration of Data-driven Compact Device Models for Circuit Simulation and Analysis.
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Physics-informed Data-driven Machine Learning Approach for Mesoscale Materials Science
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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.
Predictive Atomistic Simulations of Materials using SNAP Data-Driven Potentials.
Abstract not provided.
Data-Driven Bayesian Model Selection: Parameter Space Dimension Reduction using Automatic Relevance Determination Priors.
Abstract not provided.
Data-Driven Compact Models for Circuit Design and Analysis.
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Data-Driven Network Reduction and Aggregation with DERs for Outage Management
A novel approach exploiting the growing number of Distributed Energy Resources (DERs) to enhance distribution system resiliency is presented. After a power outage, DERs and loads are aggregated into switch-level equivalent models, preserving, at the same time, controllability information to enable real-time outage management analysis. Pre-fault smart-meters measurements are used as inputs for Artificial Neural Networks and Cold Load Pick-Up (CLPU) modeling to obtain short-term load forecast, while an optimal restoration analysis is carried out to determine restored network topology and utility-controlled loads and DERs set-points
Data-driven Global Sensitivity Analysis of Three-Phase Distribution System with PVs
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Data-Driven Agile Modeling Approach for Rapid Assessments of Electrical Designs.
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Deep Learning ? Engineered Data Driven AI: Opportunities Challenges and Applications.
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Data-driven Performance Prediction in Additive Manufacturing Components Using Deep Learning.
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Interpretable Data-driven Plasticity Models with Symbolic Regression.
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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.