Modeling the Effects of Microstructure on Localization in Polycrystalline Stainless Steel
Abstract not provided.
Publications
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Jump to search filtersSummer 2016 Project
Abstract not provided.
Modeling Microstructure Evolution During Metal Additive Manufacturing
Abstract not provided.
Visual Cognition: Human Comprehension of Data Visualizations
Abstract not provided.
miniTri ? Triangle Based Data Analytics Miniapp
Abstract not provided.
Neural Computing for Scientific Computing Applications:
Abstract not provided.
Sparta-Catalyst Integration Progress in ATDM (Highlight Slide)
Abstract not provided.
Record Use of ParaView at Sandia National Laboratories
Abstract not provided.
A Classical MD Primer
Abstract not provided.
Tackling UQ in DARMA a Programming Model for Task-Based Execution at Extreme-Scale
Abstract not provided.
Information Extraction and Logical Inference for Derivative Classifier Assistance
Abstract not provided.
Beyond Hugoniots: seeking consistency in observables
Abstract not provided.
Additive manufacturing: Toward holistic design
Scripta Materialia
Additive manufacturing offers unprecedented opportunities to design complex structures optimized for performance envelopes inaccessible under conventional manufacturing constraints. Additive processes also promote realization of engineered materials with microstructures and properties that are impossible via traditional synthesis techniques. Enthused by these capabilities, optimization design tools have experienced a recent revival. The current capabilities of additive processes and optimization tools are summarized briefly, while an emerging opportunity is discussed to achieve a holistic design paradigm whereby computational tools are integrated with stochastic process and material awareness to enable the concurrent optimization of design topologies, material constructs and fabrication processes.
Experiences in Automated Calibration of a Nickel Equation of State
Abstract not provided.
Model Discrepancy Calibration Across Experiments
Abstract not provided.
Integration of Mesh Adaptivity with a High-Deformation Multi-Material Simulation
Abstract not provided.
Sampling Polynomial Chaos and Functional Tensor Train Multilevel/Multifidelity Strategies for Forward UQ
Abstract not provided.
Uncertainty Aware Topology Optimization Via a Stochastic Reduced Order Model Approach
Abstract not provided.
An Agile Computational Approach to Crystal Plasticity
Abstract not provided.
FrogEye: Joint analysis of source code and binaries using Machine Learning
Abstract not provided.
Design Optimization of Materials with Tailored Impedance for Vibration Control
Abstract not provided.
Extended Math Programming as a framework for CPS models and analysis
Abstract not provided.
Quantum Approximation Algorithms
Abstract not provided.
Towards a Multi-fidelity Hemodynamic Model Pipeline for the Analysis of Cardiovascular Flow Under Uncertainty
Abstract not provided.
Milestone Completion Report WBS 1.3.5.05 ECP/VTK-m FY17Q3 [MS-17/02] Faceted Surface Normals STDA05-3
The FY17Q3 milestone of the ECP/VTK-m project includes the completion of a VTK-m filter that computes normal vectors for surfaces. Normal vectors are those that point perpendicular to the surface and are an important direction when rendering the surface. The implementation includes the parallel algorithm itself, a filter module to simplify integrating it into other software, and documentation in the VTK-m Users’ Guide. With the completion of this milestone, we are able to necessary information to rendering systems to provide appropriate shading of surfaces. This milestone also feeds into subsequent milestones that progressively improve the approximation of surface direction.
Results 3876–3900 of 9,998