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Results for “PROPOSALS”
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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OM596 CAPSTONE PROJECT PROPOSAL: Data-Driven Process Flow Improvements at the Primary Standards Laboratory.
Abstract not provided.
Digital Rocks Portal, Proposed Effort to Adapt an NSF geomaterials data curation tool for FE R&D in EDX
Presented by NETL at U.S. Department of Energy (DOE) Mastering The Subsurface through Technology Innovation; Partnerships and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting
8th Annual NNSA-IRSN PCG on PAS-PP02 and Proposed Action Sheet AS8.
Abstract not provided.
Credit Proposal for Threat Model Research and Multi-Sensor Platform Movement Data Collection.
Abstract not provided.
Proposed test method to establish hydrogen compatibility of materials for fuel cell vehicles.
Abstract not provided.
Proposed High-speed Compressible Problem for the 6th High-Order Workshop.
Abstract not provided.
PROPOSED USE CASES FOR AUGMENTED REALITY FOR NUCLEAR NONPROLIFERATION VERIFICATION AND TRAINING.
Abstract not provided.
Fukushima Unit 2 RCIC Operation and Proposed Full Scale Testing.
Abstract not provided.
Stochastic prediction of fracture connectivity in multi-well flow systems — application to a proposed EGS Collab shear stimulation experiment
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The proposed forward silicon tracking design and readout needs for the EIC
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Changes is dose performance measures as modeling progressed for the proposed tuff disposal system in the United States.
Abstract not provided.
Proposed test method to establish hydrogen compatibility of materials for fuel cell vehicles.
Abstract not provided.
Propose a non-destructive Stern-Gerlach apparatus for measuring the spin polarization of electron beam
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Heat Rate Improvements in the Proposed Affordable Clean Energy (ACE) Rule
Presented by NETL at 2019 EPRI Heat Rate Improvement Conference 02/19
A Research Proposal: Assessing Credible Systems Engineering Models Through Rigorous Augmented Intelligence Analysis.
Abstract not provided.