24 datasets found
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Federal
The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update
Networking and Information Technology Research and Development, Executive Office of the President —
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation,... -
Federal
Hybrid machine learning model to predict 3D in-situ permeability evolution
Department of Energy —
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a... -
Federal
The Convergence of High Performance Computing, Big Data, and Machine Learning: Summary of the Big Data and High End Computing Interagency Working Groups Joint Workshop
Networking and Information Technology Research and Development, Executive Office of the President —
The high performance computing (HPC) and big data (BD) communities traditionally have pursued independent trajectories in the world of computational science. HPC has... -
Federal
ISA Literature screening dataset v.1
U.S. Environmental Protection Agency —
This dataset contains one instance of the information used in searching and screening peer-reviewed literature to identify references to be used in EPA's Integrated... -
Federal
National Strategic Computing Initiative Update: Pioneering the Future of Computing
Networking and Information Technology Research and Development, Executive Office of the President —
The National Strategic Computing Initiative Update builds on the 2016 Strategic Computing Plan to enable focused and collaborative research, development, and... -
Federal
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
Department of Energy —
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design... -
Federal
Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - Final Report
Department of Energy —
This comprehensive technical report documents a multi-component approach to in-situ stress characterization at the Utah FORGE EGS site that integrates Machine... -
Federal
Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - 2025 Workshop Presentation
Department of Energy —
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement... -
Federal
Utah FORGE 2-2439v2: Reports on Stress Prediction and Modeling for Well 16B(78)-32 - May 2025
Department of Energy —
These two reports from the University of Pittsburgh document related efforts under Utah FORGE Project 2-2439v2 to estimate in-situ stresses in well 16B(78)-32 using... -
Federal
Utah FORGE 3-2535: Preliminary Report on Development of a Reservoir Seismic Velocity Model
Department of Energy —
This report describes the development of a preliminary 3D seismic velocity model at the Utah FORGE site and first results from estimating seismic resolution in the... -
Federal
Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks - 2025 Workshop Presentation
Department of Energy —
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Dr. Jesse... -
Federal
Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity - October, 2025
Department of Energy —
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the... -
Federal
Dark solitons in BECs dataset 2.0
National Institute of Standards and Technology —
Atomic Bose-Einstein condensates (BECs) are widely investigated systems that exhibit quantum phenomena on a macroscopic scale. For example, they can be manipulated to... -
Federal
Read-across application for emissions estimation
U.S. Environmental Protection Agency —
The emission data used is based on this publication. This dataset is associated with the following publication: Takkellapati, S., and M.A. Gonzalez. Application of... -
Federal
Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction - 2025 Workshop Presentation
Department of Energy —
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven... -
Federal
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions
Department of Energy —
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning... -
Federal
Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32
Department of Energy —
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-... -
Federal
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Department of Energy —
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to... -
Federal
EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
Department of Energy —
This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th...
24 datasets found