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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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AI4MG-networked-microgrid-models
SF-26-123 24-hour scaled power-flow analysis of a modified IEEE 123-bus distribution feeder using OpenDSS. The simulation runs 24 snapshot power-flow cases (one per hour) with independent hourly scaling profiles for base loads, added loads, generators, and battery storage, and writes per-hour CSV/Excel reports plus a 24-panel voltage-profile plot.
A Trilevel Cyber-Physical Power System Network Segmentation Model.
Abstract not provided.
Hamiltonian-Constrained Neural Networks for Modeling Nonlinear Structural Systems.
Abstract not provided.
A Neural Network Based Model for Reactive Heavy Hydrocarbon Potential Energy Surfaces.
Abstract not provided.
Graph Convolutional Neural Networks for Modeling Materials with Microstructure.
Abstract not provided.
Development of a Bayesian Network to Model Malicious Cyber-Activity in Operational Technology Environments.
Abstract not provided.
Digital Twins: Modelling Biomanufacturing Networks to Enhance Digital Biosecurity
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OFCnetLLM: Large Language Model for Network Monitoring and Alertness
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Non-Lipschitzian Dynamics For Modeling Neural Networks
Theoretical study explores failure of Lipschitz condition at points of unstable equilibrium in some dynamical systems.
Mammalian macular organization: a model information network
No abstract available
Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest
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Application of Recurrent Neural Network to Modeling Earth's Global Electron Density
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A comparison of tree-based and neural-network ML models on the 2D and 3D toy problems
Presented at the DOE-NETL 2020 Virtual Meeting - SMART Initiative Annual Review Meeting November 2-3, 2020, 11/2
Evaluation of Time-step Frequency on Prediction Accuracy Applied to Deep Learning Neural Network Surrogate Models for CO2 Storage
This PowerPoint presentation was presented virtually at the American Geophysical Union (AGU) Fall Meeting 2020.
DYMOND: DYnamic MOtif-NoDes Network Generative Model
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Deterministic Discrete Fracture Network (DFN) Model for the EGS Collab Project on the 4850 Level of the Sanford Underground Research Facility (SURF).
Abstract not provided.