Garrett Aldrich

ORCID: 0000-0003-0903-5018
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About
Contact & Profiles
Research Areas
  • Groundwater flow and contamination studies
  • Data Visualization and Analytics
  • Hydraulic Fracturing and Reservoir Analysis
  • Dam Engineering and Safety
  • Computer Graphics and Visualization Techniques
  • Geological Modeling and Analysis
  • 3D Shape Modeling and Analysis
  • Cinema and Media Studies
  • Remote Sensing and LiDAR Applications
  • Data Management and Algorithms
  • Scientific Computing and Data Management
  • Nuclear Physics and Applications
  • Nuclear reactor physics and engineering
  • Time Series Analysis and Forecasting
  • Topological and Geometric Data Analysis
  • Drilling and Well Engineering
  • Seismic Imaging and Inversion Techniques
  • Atmospheric and Environmental Gas Dynamics
  • Graphite, nuclear technology, radiation studies
  • Anomaly Detection Techniques and Applications
  • Computational Geometry and Mesh Generation

University of California, Davis
2014-2019

Los Alamos National Laboratory
2014-2018

University of California System
2017

Abstract We characterize how different fracture size‐transmissivity relationships influence flow and transport simulations through sparse three‐dimensional discrete networks. Although it is generally accepted that there a positive correlation between fracture's size its transmissivity/aperture, the functional form of relationship remains matter debate. Relationships assume perfect correlation, semicorrelation, noncorrelation two have been proposed. To study impact adopting one these has on...

10.1002/2016wr018806 article EN Water Resources Research 2016-08-01

We present an analysis and visualization prototype using the concept of a flow topology graph (FTG) for characterization in constrained networks, with focus on discrete fracture networks (DFN), developed collaboratively by geoscientists scientists. Our method allows users to understand evaluate transport DFN simulations computing statistical distributions, segment paths interest, cluster particles based their paths. The new approach enables domain scientists accuracy simulations, visualize...

10.1109/tvcg.2016.2582174 article EN IEEE Transactions on Visualization and Computer Graphics 2016-06-20

We present a methodology to analyze and visualize an ensemble of finite pointset method (FPM) simulations that model the viscous fingering process salt solutions inside water. In course form structures with increased concentration value, called fingers. These are primary interest domain scientists since it is not deterministic when where fingers appear how they evolve. To explore aleatoric uncertainty embedded in we simulation runs which differ due stochastic effects. detect track derive...

10.4028/www.scientific.net/amm.869.9 article EN cc-by Applied Mechanics and Materials 2017-08-01

We introduce an innovative ensemble analysis framework for organizing, searching, and comparing results produced by hundreds of physical simulations. Our web-based approach is built on standard technologies, utilizes a scalable modular design, suitable displaying the in situ extreme-scale

10.1109/mcse.2019.2908104 article EN Computing in Science & Engineering 2019-03-29

We present a novel parallel algorithm to animate the deformation of soft body in response collision. Our incorporates elements physically-based methods, and at same time, it allows artistic control general behavior. solver has important benefits for practical use, such as evaluation animation frames an arbitrary order, effective approximation volume preservation, stability under large deformations. To deform production-complexity data interactive rates, we leverage computational power modern...

10.2312/eg2011/short/009-012 article EN Eurographics 2011-01-01

Author(s): Aldrich, G; Gimenez, A; Oskin, M; Strelitz, R; Woodring, J; Kellogg, LH; Hamann, B | Abstract: The visualization and analysis of complex fields often requires identifying extracting domain specific features. Through a collaboration with geophysicists we extend previous work on crease surfaces new complimentary definition: extremas in principal surface curvature rather than scalar value. Using this definition, visualize the resulting which correspond to individual wave fronts. As...

10.2312/vmv.20141274 article EN Vision Modeling and Visualization 2014-01-01
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