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Sintered nanostructured alloys for advanced fusion energy applications
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A common model framework for advancing physics models in radiation hydrodynamic codes for inertial fusion energy
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Fusion Energy Sciences Network Requirements Review: Mild-cycle Update
The US Department of Energy (DOE) Office of Science (SC) world-class research infrastructure provides the research community with premier observational, experimental, computational, and network capabilities. Each user facility is designed to provide unique capabilities to advance core DOE mission science for its sponsor SC program and to stimulate a rich discovery and innovation ecosystem. Research communities gather and flourish around each user facility, bringing together diverse perspectives. The continual reinvention of the practice of science — as users and staff forge novel approaches expressed in research workflows — unlocks new discoveries and propels scientific progress.
Discovery Science and Inertial Fusion Energy Research at the Jupiter Laser Facility (Research Performance Progress Report)
The goal of this project is to provide operational support to run the Jupiter Laser Facility within the LaserNetUS network to achieve the following four objectives: • Develop new science, techniques, and platforms for discovery science and IFE research, in partnership with academia, other LaserNetUS nodes, and the greater community. • Advance the development of secondary sources of photons and particles for applications relevant to discovery science and IFE; • Serve as a testbed for new laser, optical, target, and diagnostic capabilities that will advance IFE; • Attract, train, and retain talent in high-energy-density and laser science that will be essential in furthering development of IFE, and help build new collaborations between national laboratory and academic researchers. We have accomplished our four objectives by: • Providing access to the three JLF platforms (Titan, Janus, and COMET) to LaserNetUS users after their proposals have been independently reviewed and ranked by the LaserNetUS PRP; • Providing expertise and technical capabilities to support focused science research thrusts at the facility; • Promoting and maintaining technical relationships and collaborations with other members of the LaserNetUS community to nurture and grow the discovery science and IFE workforce— especially students and early career scientists—on LaserNetUS facilities. • Augmenting JLF with specific improvements while coordinating efforts with LLNL organizations and collaborators to provide users with optimal laser, target, and diagnostic resources to help them maximize technical impact.
DIII-D's role as national user facility in enabling the commercialization of fusion energy
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Technology of Fusion Energy 2020: Design and Analysis of NSTX-U1A Poloidal Field Coil Support FST19-205 [Slides]
The design of the PF1A coil structural supports will be discussed. Explanations of the structural support loading conditions and several analyses models and results will be highlighted. A team of engineers, physicists and technical personnel were involved in these efforts.
Development of SNAP Interatomic Potentials for Gas-Metal Interactions for Fusion Energy Materials.
Abstract not provided.
Algorithm Review for the Development of a Real-Time Monitoring and Accountancy Open Framework for Fusion Energy
Outline • Tritium as a Fuel Source • Motivation for Improved Accountancy Methods • SRNL Process Modeling • Proof-of-Concept Study • 5-year Framework Development • Acquisition and Curation of Data Sets • Best Fit Algorithm and Metrics • Best Fit Algorithm – Bayes Method • Best Fit Algorithm – Dimensionality • Summary
Diagnostic measurements in harsh inertial fusion energy environments
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Exploring polar driven capsules for inertial fusion energy
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Large-scale Quantum-accurate Atomistic Simulation of Plasma-facing Materials for Fusion Energy
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Inertial Fusion Energy: Science and Engineering Opportunities Beyond Ignition
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Lifetime requirements for semiconductor lasers in inertial fusion energy systems
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Evaluating Wetted Foam Performance for Inertial Fusion Energy Targets
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AI-assisted Fusion Modelling (Magnetic Fusion Energy)
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Gas Optics for Inertial Fusion Energy Lasers
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Atomistic Modeling of materials for fusion energy using machine learned interatomic potentials
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