Machine-Learned Surrogate Models for Threaded Fasteners and their Application in Solid Mechanics Finite Element Analysis
Abstract not provided.
Publications
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Jump to search filtersSpatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning
Abstract not provided.
Estimating Uncertainty of Neural Network Predictions for Inelastic Mechanical Deformation using Coupled FEM-NN Approach
Abstract not provided.
Concentrating Solar Thermochemistry
Abstract not provided.
Autoencoders for Multimodal Data Fusion
Abstract not provided.
Detecting changepoints in globally-indexed functional time series
Abstract not provided.
Automated Model Tuning for Multifidelity Trajectory Simulation Estimators
Abstract not provided.
Power Flow Studies with the Hairpin Experiment
Abstract not provided.
A Multivariate Space-Time Dynamic Model for characterizing pathways following the 1991 Mt Pinatubo volcanic eruption
Abstract not provided.
Computational Efficient Estimation of the Extreme Event Probability of the Mass Loss of Antarctic Glaciers
Abstract not provided.
Estimation of Physical Coefficients for CO2 Sequestration using Deep Generative Priors based Inverse Modeling Framework
Abstract not provided.
In-situ Monitoring of Two-Dimensional Transistors under Low Energy Focused Ion Beam Irradiation
Abstract not provided.
Mesomechanics of Highly Filled Particle Reinforced Composites
Abstract not provided.
Estimation of Physical Coefficients for CO2 Sequestration using Deep Generative Priors based Inverse Modeling Framework
Abstract not provided.
First look at reflectance measurements from optical radiometers on Global Positioning System satellites
Abstract not provided.
Long Duration Energy Storage (LDES) Demonstration Projects in the US
Abstract not provided.
Grayscale Digital Light Processing Gradient Printing for Stress Concentration Reduction and Material Toughness Enhancement
Journal of Applied Mechanics, Transactions ASME
Avoiding stress concentrations is essential to achieve robust parts since failure tends to originate at such concentrations. With recent advances in multimaterial additive manufacturing, it is possible to alter the stress (or strain) distribution by adjusting the material properties in selected locations. Here, we investigate the use of grayscale digital light processing (g-DLP) 3D printing to create modulus gradients around areas of high stress. These gradients prevent failure by redistributing high stresses (or strains) to the neighboring material. The improved material distributions are calculated using finite element analysis. The much-enhanced properties are demonstrated experimentally for thin plates with circular, triangular, and elliptical holes. This work suggests that multimaterial additive manufacturing techniques like g-DLP printing provide a unique opportunity to create tougher engineering materials and parts.
Performance portable abstractions of high-order kernels for compressible turbulent flow
Abstract not provided.
Mitigating Overfitting in Interpretable Machine Learning Using Bayesian Methods
Abstract not provided.
Sandia Analysis Workbench (SAW) Workflow using Xyce-PyMi for Simulating Circuit-Level Response using Data-Driven Device Models
Abstract not provided.
Executive Summary of the Z Fundamental Science Program
The Z Fundamental Science (ZFS) Program is intended to provide access to the Z machine and its diagnostics for high energy density (HED) experiments in collaboration with a broad community of academic, industrial, and national laboratory research interests. ZFS experiments on the Z Facility focus on conducting fundamental research in HED science and help provide research experience necessary to maintain and grow the HED community, especially through involvement of researchers from academia. This report serves as an executive summary of the ZFS Program and provides a succinct synopsis of the history of the ZFS Program, metrics and impacts of the Program, as well as a brief list of the most impactful publications that have resulted from the various ZFS Projects relevant to laboratory astrophysics, plasma physics, and planetary physics.
The Approximate Control Variate Framework for Efficient Multifidelity Uncertainty Quantification of Non-Deterministic Models
Abstract not provided.
The Pioneer Array and integration of a wave energy converter (WEC)
Abstract not provided.
Atomic and radiation physics for HED x-ray spectroscopy
Abstract not provided.
Feasibility Study to Evaluate Casing Deformation in Storage Caverns in Salt Dome
Abstract not provided.
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