Time-variable moment tensor inversion of seismic and seismoacoustic data at the Source Physics Experiment Phase II: Dry Alluvium Geology
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Darrh, Andrea Nicole↗
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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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Advances in Discrete-Direct Sparse-Sampling Approaches for Aleatory and Epistemic Uncertainties in Model Calibration and Inverse Problems
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Romero, Vicente Jose↗
Solving Functional Inverse Problems using Alpert Multi-Wavelets
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Salloum, Maher↗
Inverse Optimization Enabled by Operator Learning: Benchmarks, Limitations, and Opportunities
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Hart, Joseph Lee↗
A Preliminary Study for Obtaining Inverse Sobolev-Type Inequalities for Tanh Neural Networks
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Bochev, Pavel B.↗
Efficient and Accurate Pre-Inversion of Equation of State Data
In this report, we evaluate the trade-offs between accuracy and performance in three equation of state interpola- tion strategies- EOSPAC, SpinerEOSDependsRhoT, and SpinerEOSDependsRhoSie-using SESAME tabular data. We also investigate ways to reduce nonlinearity in the data through invertible transformations within the SpinerEOS- DependsRhoSie class with the goal of impacting interpolation accuracy. We include a variety of benchmarking tests that vary the grid densities and how memory is accessed.
36 MATERIALS SCIENCE↗
Uncertainty quantification of single and multi-parameter full-waveform inversion through a variational autoencoder
This poster will be presented at IMAGE as well as for a Sandia-UT student poster session next week
Elmeliegy, Abdelrahman M↗
Physics-informed Deep Generative Models to Quantify Uncertainties in Geophysical Full-waveform Inversion
SSA oral presentation
Elmeliegy, Abdelrahman M↗
CHARACTERIZING HEAT TRANSFER FROM VENTING LI-ION BATTERIES UNDERGOING THERMAL RUNAWAY WITH INVERSE TECHNIQUES
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Kurzawski, Andrew Joseph [Sandia National Laborato↗
Inverse Problem Formulation for Contact Detection
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Sanders, Clay Michael [Sandia National Laboratorie↗
Optimal Experiment Design for Large-Scale Inverse Problems with Enhanced Robustness to Model Uncertainties
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Smith, Chandler Baldwin [Sandia National Laborator↗
Atomistic structure generation and inverse machine-learning for materials from LAMMPS
Invited talk for the telluride science and research center workshop on “Machine Learning and Informatics for Chemistry and Materials”.
Goff, James Michael↗
Inverse Design of Shock-Driven Material Deformation Using Machine Learning and the PLI Dataset
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97 MATHEMATICS AND COMPUTING↗
Inverse Designed Nanophotonics: Pushing the Limits via Advanced Design and Fabrication
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Sarma, Raktim [Sandia National Laboratories (SNL-N↗
Time-variable moment tensor inversion applied to seismic data collected at the PE1-A experiment
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Darrh, Andrea Nicole [Sandia National Laboratories↗
A Simple Algebraic Approximate Inverse Preconditioning Scheme for High-Quality-Factor Resonant Cavities
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Kotulski, Joseph D. [Sandia National Laboratories ↗
Inverse design of anisotropic microstructures using physics-augmented neural networks
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Jadoon, Asghar [University of Texas at Austin]↗
Large-Scale Optimization Methods for Complex and Uncertain Inverse Problems
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Kouri, Drew Philip [Sandia National Laboratories (↗