A Quick Tour of LAMMPS
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Publications
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Jump to search filtersAlgebraic multigrid solvers for thin-domain problems: application to ice sheet modeling
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Numerical Libraries: Community Achievements Challenges and Opportunities
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Warm dense matter: opportunities and challenges for TDDFT
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Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures
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Spin--lattice simulations with LAMMPS
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Spin--lattice simulations with LAMMPS
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Tackling UQ in DARMA a Programming Model for Task-Based Execution at Extreme-Scale
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Corroborating Tomographic Defect Metrics with Processing Parameters & Mechanical Response in Metal AM
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Progress toward 3D Extended MHD modeling in an ALE Framework in ALEGRA
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Multilevel-Multifidelity Expansions with Application to Forward UQ OUU and Emulator-Based Bayesian Inference
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Preliminary Application of Neural Networks to Support Assessment of Ground-Based Imagery for International Safeguards Analysis
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Towards a Multi-fidelity Hemodynamic Model Pipeline for the Analysis of Cardiovascular Flow Under Uncertainty
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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.
Quantum Approximation Algorithms
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Robust Verification of the Multi-Fluid Plasma Model in Drekar
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SST Tutorial 2017 - Juno Example Processor
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Integration of Dakota into the NEAMS Workbench
This report summarizes a NEAMS (Nuclear Energy Advanced Modeling and Simulation) project focused on integrating Dakota into the NEAMS Workbench. The NEAMS Workbench, developed at Oak Ridge National Laboratory, is a new software framework that provides a graphical user interface, input file creation, parsing, validation, job execution, workflow management, and output processing for a variety of nuclear codes. Dakota is a tool developed at Sandia National Laboratories that provides a suite of uncertainty quantification and optimization algorithms. Providing Dakota within the NEAMS Workbench allows users of nuclear simulation codes to perform uncertainty and optimization studies on their nuclear codes from within a common, integrated environment. Details of the integration and parsing are provided, along with an example of Dakota running a sampling study on the fuels performance code, BISON, from within the NEAMS Workbench.
miniTri ? Triangle Based Data Analytics Miniapp
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Modeling the Effects of Microstructure on Localization in Polycrystalline Stainless Steel
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Summer 2016 Project
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Modeling Microstructure Evolution During Metal Additive Manufacturing
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Visual Cognition: Human Comprehension of Data Visualizations
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Sparta-Catalyst Integration Progress in ATDM (Highlight Slide)
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A Classical MD Primer
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Results 3926–3950 of 9,998