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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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Nuclear Science User Facilities High Performance Computing: FY2019 Operations and Accomplishments Report
This report highlights a subset of accomplishments including projects that were completed in FY 2019 by researchers using Idaho National Laboratory's High-Performance Computing (HPC) resources.
Hamiltonian Simulation [Slides]
Given a (qubit) quantum system modeled by a Hamiltonian H, use a quantum computer to obtain time-evolved properties of the system. One way of solving this problem is by actually preparing the evolved quantum state (in some encoded fashion). The goal is to provide a sequence of elementary 1 and 2-qubit gates that would prepare such a state.
FY 2019 Site-Directed Research & Development (Annual Report Overview)
This overview of the Fiscal Year 2019 Site-Directed Research & Development program and the Nevada National Security Site contains information regarding the program’s history and growth, leadership, project selection process, present areas of research, highlights of significant accomplishments and awards, noteworthy people, and performance metrics.
Enhancing Monte Carlo Particle Transport for Modern Many-Core Architectures
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Xenon Signal Denoising via Supervised, Semi-Supervised, and Unsupervised Models (arXiv:2603.27005)
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S&TR July August 2026 Density Functional Theory issue
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Robust Containment Queries over Trimmed NURBS Surfaces via Generalized Winding Numbers
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Reducing the Time and Cost of Testing Engines
Producing a new aircraft engine currently costs approximately $1 billion, with 3 years of development time for a commercial engine and 10 years for a military engine. The high development time and cost make it extremely difficult to transition advanced technologies for cleaner, quieter, and more efficient new engines. To reduce this time and cost, NASA created a vision for the future where designers would use high-fidelity computer simulations early in the design process in order to resolve critical design issues before building the expensive engine hardware. To accomplish this vision, NASA's Glenn Research Center initiated a collaborative effort with the aerospace industry and academia to develop its Numerical Propulsion System Simulation (NPSS), an advanced engineering environment for the analysis and design of aerospace propulsion systems and components. Partners estimate that using NPSS has the potential to dramatically reduce the time, effort, and expense necessary to design and test jet engines by generating sophisticated computer simulations of an aerospace object or system. These simulations will permit an engineer to test various design options without having to conduct costly and time-consuming real-life tests. By accelerating and streamlining the engine system design analysis and test phases, NPSS facilitates bringing the final product to market faster. NASA's NPSS Version (V)1.X effort was a task within the Agency s Computational Aerospace Sciences project of the High Performance Computing and Communication program, which had a mission to accelerate the availability of high-performance computing hardware and software to the U.S. aerospace community for its use in design processes. The technology brings value back to NASA by improving methods of analyzing and testing space transportation components.
NASA Tech Briefs, July 1997
Topics: Mechanical Components; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Life Sciences.
NASA Tech Briefs, January 1998
Topics: Sensors/Data Acquisition; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Life Sciences; Books and Reports.
NASA Tech Briefs, February 1998
Topics: Test Tools; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Software; Mechanics; Machinery/Automation; Manufacturing/Fabrication; Life Sciences.
Exploiting Asynchrony for Materials in Extreme Environments: Programming Models and Runtime Requirements
Abstract Not Provided
1D Transport Using Neural Nets, SN, and MC
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Porting 3D Discrete Ordinates Sweep Algorithm in Ardra to CUDA
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Status of LLNL Monte Carlo Transport Codes on Sierra GPUs
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Attend and Decode: 4D fMRI Task Decoding Using Attention Models
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