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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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High Order Implicit Residual-Based Spatial Discretization Error Estimation for S N Neutron Transport
This work demonstrates our novel residual source spatial discretization error estimator (LeR/TEAD) for a DGFEM-1 discretization and assesses it along with two contemporary estimators, Ragusa and Wang's h -refinement estimator (RW) and Duo, Azmy, and Zikatanov's explicit residual-based estimator (DAZ), on a suite of Method of Manufactured Solutions (MMS) 2D problems and three realistic problem geometries. LeR/TE-AD is attractive because it directly estimates the local error in the angular flux, as opposed to a mere indicator of the error's behavior, on the same mesh and method order as the original numerical solution, thus typically being less computationally intensive than a refinement-based method. On the MMS suite, LeR/TE-AD consistently displayed a reduced performance versus its DGFEM-0 results in terms of accuracy and precision metrics, though it was not typically grossly inaccurate. This is attributed to the irregularities in the true solution across singular characteristics limiting the local accuracy of the numerical flux solution, leading to poor derivative approximations used in the residual approximations. The error transport problem then spreads the error in the residual to nearby cells, causing a greater degree of imprecision that did not afflict DAZ or RW. In testing the estimators on realistic problem geometries, however, LeR/TE-AD fared better. In practice, the true error is much larger in non-idealized geometries like in MMS, and a superlinear true solution means that RW and DAZ are not beneficially biased for DGFEM-1 error estimation. LeR/TE-AD was typically first or second in accuracy, primarily competing with RW, but the latter usually consumed 2-4 times the computational time as LeR/TE-AD, and requires a solution with four times as many unknowns. Furthermore, RW and LeR/TE-AD can be used to compute direct estimates of the error in any quantity of interest that is based on the angular ux solution, such as the fission rate density in a fuel pin, whereas DAZ requires a heuristic extension due to its norm-based nature.
Highly Ordered Hierarchical Anodes for Extreme Fast Charging Batteries (Final Report)
The goal of this project is to enable extreme fast charging (XFC) of Li-ion batteries, which was accomplished through a combination of 1) rational design and manufacturing of hierarchically structured anode architectures; 2) blending graphite/hard carbon into a bulk hybrid anode; 3) engineering artificial solid-electrolyte interphase (SEI) coatings with reduced interphase impedance; 4) computational modeling of coupled transport, kinetic, and electrochemical phenomena; and 5) improved fundamental understanding of lithium plating through operando analysis. This work integrated structural, compositional, and surface modification of graphite anodes, multi-physics modeling of ion transport, electrochemical activity, and heat transfer, advanced strategies to detect Li plating, and semi-automated roll-to-roll cell assembly. The unique facilities at the University of Michigan (UM) and Sandia National Laboratories (SNL) were leveraged to manufacture, prototype, and characterize commercially relevant >2Ah and >180 Wh/kg cells with a target of <20% capacity fade over 500 XFC cycles.
High-order property-preserving physics-dynamics-grid remap in E3SM.
Abstract not provided.
High-order property-preserving semi-Lagrangian tracer transport in E3SM.
Abstract not provided.
Exploiting Tensor-Product Structure in High-Order Finite Elements on Next-Generation Architectures.
Abstract not provided.
High-order, property-preserving semi-Lagrangian tracer transport and physics-dynamics-grid remap in the E3SMv2 Atmosphere Model.
Abstract not provided.
Structure-preserving, high-order and oscillation-limited transport operators.
Abstract not provided.
A performance portable implementation of high-order, entropy-stable spectral collocation schemes for compressible turbulent flows.
Abstract not provided.
Performance portable abstractions of high-order kernels for compressible turbulent flow
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HSR Lattice Model in the Hadron Beam Direction Featuring High-Order Dipole Field Harmonics
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PDE-CONSTRAINED R-ADAPTIVITY OF HIGH-ORDER MESHES
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High Order Time Integrators for More Efficient Cloud Microphysics Simulations
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Accelerating High-Order Finite Element Simulations At Extreme Scale with FP64 Tensor Cores
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High-Order Mesh r-Adaptivity with Tangential Relaxation and Guaranteed Mesh Validity
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High-Order Mesh r-Adaptivity with Tangential Relaxation and Guaranteed Mesh Validity
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