Visualization plays an integral role in the scientific process - allowing a way to see the unseen by creating images of experimental data or theoretical simulation results. The projects listed on this page represent recent or current collaborative efforts between the LBNL/NERSC Visualization Group and others performing scientific research.
2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 |
1999 | 1998 | 1997 | 1993 |
High-performance interactive visualization of LWFA simulations | |
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Analysis of laser wakefield particle acceleration data is a challenging task. Our approach combines and extends techniques from high performance scientific data management and visualization, enabling researchers to gain insight from extremely large, complex, time-varying laser wakefield accelerator simulation data. We extend histogram-based parallel coordinates which we use as visual information display and interface for guiding and performing data mining operations. We use multi-dimensional thresholding as vehicle for selecting particles of interest at a particular timepoint. We use FastBit, a state-of-the-art index/query system for data extraction and subsetting. (More information) |
Visualization of large-scale GFDL/NOAA climate simulations |
NERSC Analytics personnel supported climate scientists from GFDL/NOAA in running large scale runs of their next generation CM2.4 and c180 models at very high resolutions. In order to efficiently render the large datasets, VisIt plugins were developed for the file formats. Custom visualizations depicting phenomena of interest (hurricane formation, etc) were also developed.
More information.
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Direct Numerical Simulation of Turbulent Flame Quenching by Fine Water Droplets |
NERSC Analytics staff supported Incite12 collaborators in using VisIt for analyzing their simulation runs. We resolved a number of data import issues and enabled generation of publication-quality images. A number of tutorials on using VisIt for simulation data are provided.
More information.
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Visualization Research | |
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One fundamental element of scientific inquiry is the discovery of relationships. We have developed a new technique suitable for computing and displaying relationships, thereby accelerating knowledge discovery in large and complex scientific datasets. (More information) | Sunfall: Visual Analytics for Astrophysics |
The Visualization Group participated in the design and implementation of Sunfall, a
collaborative visual analytics system for the Nearby Supernova Factory
(SNfactory),
the largest data volume supernova search currently in operation. Sunfall utilizes interactive
visualization and analysis techniques to facilitate insight into complex, noisy, high-dimensional,
high-volume, time-critical data. The image at left is from the "supernova details view" from
the Supernova Warehouse, one component of Sunfall. The details view enables access to
photometric supernova images, spectral data, lightcurves, and associated metadata.
More information. |
Fusion: NIMROD HDF5 VisIt Plugin |
The Visualization group is writing a NIMROD HDF5 database plugin for VisIt (http://www.llnl.gov/visit). The plugin can be recompiled in unix platforms to use with a local version of VisIt or it can be used directly in davinci.nersc.gov. The HDF5 data model is specified in the Fusion Simulation Markup Language (FSML) project.
More information. |
SciDAC Computational Astrophysics |
This project, "When Good Stars Go Bang", is part of the SciDAC Computational Astrophysics Consortium studying supernovae, gamma-ray bursts, and nucleosynthesis More information. |
Fast Contour Descriptor Algorithm for Supernova Image Classification | |
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Members of the Visualization Group collaborated on the development
of a fast contour descriptor algorithm which was applied to a
high-volume supernova detection system (the
Nearby Supernova Factory)
Our shape-detection algorithm
reduced the number of false positives generated by the supernova search
pipeline by 41% while producing no measurable impact on running time.
Because the number
of Fourier terms to be calculated is fixed and small, the algorithm runs
in linear time, rather than the O(n log n) time of an FFT.
More information. |
Supernova Recognition Using Support Vector Machines |
This work demonstrates the great potential impact that supervised
learning has to improve the efficiency of large-scale digital sky surveys
that are slated to collect terabytes of nightly imagery in search of
celestial objects
(SNAP,
LSST,
DES,
Pan-STARRS).
The Nearby Supernova Factory
(SNfactory)
is an international project to obtain spectrophotometry data on a large
sample of Type Ia supernovae in a nearby redshift range in order to
measure the expansion history of the universe.
Members of the Visualization Group have used supervised learning techniques (Support Vector
Machines (SVMs), boosted decision trees, random forests) to automatically
classify all incoming subimages on a nightly basis and rank-order them by
the classifier decision value, allowing astrophysicists to quickly examine
the 20 or so most promising candidates arriving each morning.
More information. |
Laser Wakefield Particle Acceleration |
Particle-in-Cell Simulation of Laser Wakefield Particle Acceleration: A 2006 INCITE Project. This project, led by Cameron Geddes of Berkeley Lab, was awared 2.5 million hours to perform detailed 3D models of laser-driven wakefield particle accelerators. These plasma-based accelerators are not subject to electrical breakdown and have demonstrated accelerating gradients thousands of times those obtained in conventional accelerators. The particle-in-cell simulations proposed in this study will interpret recent experiments and assist in the planning of the next generation of particle accelerators and ultrafast applications in chemistry and biology. More information. |
SciDAC2 Visualization and Analytics |
A fundamental aspect of large-scale, data-intensive computational
and experimental science is the ability to quickly gain knowledge
from large and complex collections of scientific data. To respond
to this challenge, we have assembled a leading team of researchers
and developers to tackle this very problem over a five-year period
as part of DOE's SciDAC2 program. This effort marks the first
SciDAC Visualization Center, and will play a key role in
scientific knowledge discovery in the latter half of the first
decade of the 21st Century.
At the 2006 SciDAC meeting in Denver, CO held during June 2006, we presented a white paper and poster describing out team's approach. |
Biophysics |
Cryo-EM and single molecule biophysical studies of dsDNA packaging in Bacillus subtilis bacteriophage Phi 29.
Luis R. Comolli 1, Andrew Spakowitz 2, Cristina E. Siegerist 1, Shelley Grimes 3, Paul Jardine 3, Kenneth H. Downing 1, Dwight Anderson 3 and Carlos Bustamante 1,2. 1 Lawrence Berkeley National Laboratory, 2 Physics Department, University of California at Berkeley, 3 Academic Health Center, University of Minnesota. |
High Performance Visualization — Query-Driven Network Traffic Analysis |
Query-driven visualization plays an important role in high performance
visualization and data-intensive knowledge discovery. This case
study explains the technology and shows how it is applied to
a "hero-sized" network traffic analysis problem.
More information. E. Wes Bethel (CRD/LBNL), Scott Campbell (NERSC/LBNL), Eli Dart (ESnet/LBNL), Kurt Stockinger (CRD/LBNL), Kesheng (John) Wu (CRD/LBNL). |
Climate Modeling |
This plot is a 3D view of 6000 months of net primary productivity, 2m air temperature and soil moisture at Harvard Forest generated by a coupled climate model (CSM1.4+Carbon) with biogeochemistry component in the land model.
Yun Helen He, LBNL |
Physical Chemistry: Journal Cover |
Computational studies of molecular hydrogen binding affinities: The role of dispersion forces, electrostatics, and orbital interactions , Rohini C. Lochan and Martin Head-Gordon, Physical Chemistry Chemical Physics, 2006, 8, 1357 - 1370 Rohini Lochan, Martin Head-Gordon, UC Berkeley |
Beam Dynamics: new images of particle tracking | |
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More images. Andreas Adelmann, PSI |
Visualization of Magneto-rotational instability and turbulent angular momentum transport |
In space, gases and other matter often form swirling disks around attracting central objects such as newly formed stars. The presence of magnetic fields can cause the disks to become unstable and develop turbulence, thereby causing the disk material to fall onto the central object. This project carries out large-scale simulations to test theories on how turbulence can develop in such disks.
More information on this project. For more information on the NERSC 2005 Incite projects click here Fausto Cattaneo et al. University of Chicago |
Life Sciences: Cell Division of Caulobacter Crescentus. |
Composite image showing original 2D cryo electron microscopy image (center) and membrane models and volume rendering of the 3D recontruction (right upper corner and left lower corner).
More information. Ken Downing, Luis Comolli, LBNL. |
Combustion: Rod-stabilized V-flame |
Curvature of a premixed combustion front. CCSE web page.
More images J.Bell et al., CCSE, LBNL |
Electron Cloud Simulations |
This image shows a proton beam moving along the beam pipe (z-axis) in the presence of an electron cloud. The proton beam is shown in red in the center of the pipe. The model, incomplete, you will see no velocity component for the electrons along the z-axis, was a first approximation to model the proton-electron interaction in the beam line. The pipe is colored by the electron density, the same information is shown in the upper graph.
MPEG Movie of the simulation (4.8MB).
More images soon.
A. Adelmann, PSI |
Fluid Turbulence |
Visualization of Fluid Turbulence using AVS/Express, CEI/Ensight and Paraview.
More images. P.K.Yeung, D.Donzis, Georgia Tech |
Electron Pair Localization Function Visualization |
EPLF of F2
More information. W.Lester, UC Berkeley |
Incite3: Fluid Turbulence | |
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Visualization Helps Provide Insight into 3D Fluid Turbulence and Mixing at High Reynolds Number.
More information. |
Incite1: Quantum Chemistry |
Visualization of Electron Walkers Computed by Quantum Monte Carlo Simulation of Energy Pathways in Photosynthesis Reactions
More information. |
Delivering Interactive, 3D Visualization to the Desktop |
The MBender project explores the use of QuickTime VR Object Movies
to deliver interactive, 3D scientific visualization to the desktop in a
remote and distributed visualization setting.
More information. |
Adaptive Mesh Refinement Visualization |
Adaptive Mesh Refinement (AMR) is a technique for automatically refining
(or de-refining) regions of a computational domain during a numerical
calculation based upon application-specific criteria, like flamefront
tracking during a combustion simulation. The multiresolution and
hierarchical nature of AMR grids presents special challenges for
mainstream visualization tools, which typically can operate only on
single grid domains. At SC04, the LBNL Visualization Group will show
ongoing AMR visualization activities. First, LBNL's hardware-accelerated
volume renderer is being used to create images for a PBS special movie on
cosmology. Second, the group will demonstrate use of custom data
converters that permit AMR grids to be visualized using CEI's Ensight
and LLNL's Visit, both of which are applications that implement a
pipelined/parallel architecture and are effective in remote and
distributed visualization contexts.
More information. |
Tomography - 3D Reconstruction |
Cryo-electron microscopy
Reconstruction of tomographic data from a tilt series of images using cryo-electron microscopy. Click here for details Ken Downing's Lab, LBNL |
AVS/Express ModelBuilder |
Model Builder
ModelBuilder is an application to build a model of surfaces from 3D volume data (uniform mesh). Click here for details . |
SciDAC: Terascale Computational Atomic Physics for Controlled Fusion Energy |
Visualization of Computational Atomic Physics for Fusion
Atomic physics plays a central role in many of the high temperature and high density plasmas found in magnetic and inertial confinement fusion experiments, which are crucial to our national energy and defense interests, as well as in technological plasmas important to the US economic base. In turn, the development of the necessary atomic physics knowledge depends on advances in both experimental and computational approaches. The Computational Atomic Phyics for Fusion SciDAC project hosted at NERSC is producing early results simulating time evolution of a wavepacket scattering from a Helium atom. Click here for details. M. Pindzola, Auburn University. |
Accelerator Modeling SciDAC |
Particle Viewer, PartView
PartView is a lightweigth application to preview results of beam dynamics simulations. Click here for details John Shalf, Cristina Siegerist, CRD/LBNL Andreas Adelmann, PSI |
Protein Folding |
Protein energy minimization using OPT++.
The AMBER empirical energy of protein t209 was minimized using OPT++. In this visualization, the atoms are colored according to their displacement on consecutive minimization iterations. Folding evolution MPEG movies: t209(13M), t209(27M), t209(27M), t209 backbone(26M), t209 log color scale(27M), t209 log color scale no box(27M) Ricardo Oliva, Juan Meza, Silvia Crivelli, CRD/LBNL more images. |
Fusion |
Visualization of 3D surface vector data from a plasma flow simulation on an irregular grid with AVS/Express. The AVS/Express streamlines or advector modules do not display streamlines of a vector field on a 2D surface in 3D space, binning the field to a uniform 3D grid allowed the user to visualize streamlines in the 2D surface.
D. Spong, ORNL more images. |
Electron Cloud Simulation |
Trajectories of electrons selected interactively with a box widget in the projection of the last simulation step along the z direction. The proton beam is rendered as volume density data. The trajectories are rendered as splines colored by the magnitude of the velocities.
more images. A. Adelmann, PSI |
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Electron cloud rendered as volume
density and proton beam rendered as particles (MPEG, 5.8M) (Quick Time, 84M). The color bar on the left encodes the magnitude of the proton velocities and the one on the left the density of electrons.
more images. A. Adelmann, PSI |
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Electron cloud and proton beam rendered as particles (MPEG, 5.8M)
more images. A. Adelmann, PSI |
Computational Spin Dynamics |
Monte Carlo simulation of the D'yakonov-Perel' spin relaxation mechanism: Simulation showing the time evolution of the individual spins of an ensemble of 169 electrons in a zincblende. The local effective magnetic fields (white) and the precessing spins (green) are shown subject to pseudorandom scattering events as determined from Monte Carlo techniques. The time dependence of the three components of the total magnetization is shown in the line graph. Movies are presented for a [001] substrate with structural inversion asymmetry (SIA) effects only (MPEG), bulk inversion asymmetry (BIA) and SIA when these effects have equal magnitude (MPEG), and for a [111] substrate with, again, BIA and SIA effects equal, where the spin lifetime of all three components is enhanced (MPEG).
more images. Xavier Cartoixà, LBNL, David Z.-Y. Ting, JPL |
Computational Astrophysics | |
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Continuing the work with the calculation of a supernova
atmosphere for different geometries. Simulation of photons emitted from
the supernova. To see a small test MPEG movie of the emission of photons
click here (29M).
For a larger MPEG click
here (132M). A montage of the emission of photons and the spectrum
is here.
more information more images. P.Nugent, D.Kasen, LBNL |
Fusion |
more images.
PPPL |
Computational Astrophysics | |
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Continuing the work with the calculation of a supernova
atmosphere for different geometries.
Flux as a function of viewing angle QuickTime(133M). QuickTime(74M)
MPEG(1.5M)
more images. P.Nugent, D.Kasen, LBNL |
Protein Folding | |
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Protein energy minimization using OPT++.
The AMBER empirical energy of protein 1e0m was minimized using OPT++. In this visualization, the atoms are colored according to their displacement on consecutive minimization iterations. The initial configuration was constructed using ProteinShop. Folding evolution MPEG movies: with backbone(22M) and without backbone(21M), QuickTime movies: with backbone(133M) and without backbone(127M). MPEG movie colored with the absolute distance with respect to the initial position. Ricardo Oliva, Juan Meza, Silvia Crivelli, CRD/LBNL more images. |
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Protein energy minimization using OPT++.
The AMBER empirical energy of protein T162 was minimized using OPT++. Folding evolution MPEG. Ricardo Oliva, Juan Meza, Silvia Crivelli, CRD/LBNL more images. |
Simulations |
Accumulated Activity of 1D heterogeneous diffusion.
Time Evolution Mpeg
Salil Akerkar, University of Arizona more images |
Accelerator Modeling SciDAC | |
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Simulation Studies of Beam Dynamics:
Simulation showing halo particles being tracked backwards
in an accelerator to their starting points. Such simulations and associated
visualizations provide insight into the halo formation mechanism in high
intensity beams. Color encodes the magnitude of the velocity of the particles.
(MPEG)
A.Adelmann, LBNL more images |
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Simulation Studies of Beam Dynamics:
Time dependent density isosurfaces of a particle beam injected into an accelerator. The spiral arms show the result of the interaction of the beam with the environment.
(MPEG)
A.Adelmann, LBNL more images |
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May 2002.
Large scale simulations performed on NERSC's IBM/SP supercomputer help accelerator physicists understand the electromagnetic interaction between beams in a collider. These figures show a collision between two bunches of particles. (MPEG) See below for more information. J.Qiang, R. Ryne, LBNL more images new collision images |
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March 2002.
New work with the Beam Simulation data shows the time evolution in the x-PhaseX (MPEG) plane and in the y-PhaseY plane (MPEG) for 409 time steps. The color encoding shows the magnitude of the velocities. More information. JQiang, R. Ryne, LBNL |
Imaging and Visualization |
2002 Summer Research Sample Results on 3D Morphing
(MPEG) M.Eser, B. Parvin, LBNL |
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This visualization shows the automatic detection of cell structures
and localization of protein expression from a volumetric dataset. This
is an important step in large scale analysis of cultured colonies and
understanding their intercellular interactions. The focus of this
initial study is to determine the frequency of gap junction protein
complexes as a function of various treatments. For more information: Examples of low dose radiation studies Click on the image to see a 360 degree view of the dataset. Bahram Parvin, Staff Scientist, LBNL |
Computational Astrophysics |
Simulation of the collapse of iron cores in the explosion
of a supernovae. The image represents the entropy values during a particular
timestep of a supernova formation. Salil Akerkar, University of Arizona |
|
There is mounting evidence that galaxy interactions play an important
role in galaxy evolution. Elliptical galaxies, spiral bulges, and a
significant fraction of all the stars in the universe may be
byproducts of galaxy mergers, especially mergers at high redshift.
Hydrodynamical simulations of galaxy interactions have given evidence
of the role mergers play in galaxy evolution, but the galaxies used in
these simulation have primarily been of equal mass, with low gas
fractions typical of spiral galaxies in the local universe. In order
to better understand the roles mergers play in galaxy evolution we are
using high resolution simulations, including hydrodynamics and star
formation, to investigate the full parameter space of pre-merger
galaxy properites and interaction parameters. A main goal of our work
is modeling the star formation rates and the morphology of
interacting galaxies in various wavelengths.
Time evolution MPEGs of Gas stars with sfr > 0
zoomed,
zoomed with a reference grid,
not zoomed. Time evolution of all Gas
stars MPEG . Time
evolution of the trayectories of stars
MPEG .
J. Primack, Thomas Cox, UCSC more images |
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These figures show a spectrum synthesis calculation of a supernova atmosphere
surrounded by a toroid. The layout of the atmosphere is presented on the
right while at the left we have a graph of the flux vs. wavelength vs. viewing
angle (Figure A) and of the polarization vs wavelength vs. viewing angle
(Figure B). For viewing angles where the toroid obscures the underlying
atmosphere, a strong absorption feature appears in the flux spectrum. Observations
of such a feature allows one to determine the 3-dimensional geometry of the
supernova ejecta, and hence put strong constraints on the progenitors and
explosion physics of Type Ia supernovae. Flux as a function of viewing angle MPEG. Polarization as a function of viewing angle MPEG. P.Nugent, D.Kasen, LBNL more images |
Materials Sciences |
Surface Physics.
S.Tomassone, Rugters University more images |
Earth Sciences |
Montmorillonite is a common clay mineral with a layered structure and a range
of permanent negative charge which allows cations and water molecules to
enter the space between clay layers, also known as the interlayer. Click
on the image to see a 50 ps portion of a molecular dynamics simulation of
the interlayer region of Cs-montmorillonite.
More information. R.Sutton and G.Sposito, UC Berkeley |
This figure shows three electron microscope images of DNA toroids
accompanied by computer simulations of toroids in corresponding
orientations. This work is motivated by interest in the behavior
of DNA, which is sometimes naturally packed into toroidal arrays, and
has application for DNA packing in genetic therapies.
More information. Ken Downing, Life Sciences Division |
|
This image shows a 3-D reconstruction of an intact microtubule, obtained
using cyro-electron microscopy and image processing at a resolution of
about eight Angstroms. Microtubules play fundamental roles throughout
the life of eukaryotic cells.
More information. Ken Downing, Life Sciences Division |
|
The nonlinear Schrodinger equation (NLS) is a ubiquitous equation that
naturally arises in weakly nonlinear systems whose wave dispersion relation
is also a function of amplitude. It is an ideal testing ground for quantum
lattice gas algorithms because exact solutions are known for the NLS equation.
In particular, some of these exact solutions are solitons - nonlinear localized
wavepackets that retain their identity even after collisions with other
wavepackets. Click on the image to see the time evolution of two soliton-like
intial conditions under the NLS equation with potential
V = |psi|. The two solitons are unstable and break up resulting in coherent
structures(solitons) interacting with a turbulent sea of very small amplitude
solitons. The collisions of the coherent structures do not destroy these
structures. George Vahala, Physics Dept., William & Mary |
|
The LEDA experiment is an experiment at Los Alamos National
Laboratory to study the generation of halo particles in a periodic
transport system.
These images and the movie clips: rotating view of a time step
MPEG,
time evolution
MPEG, show the particle phase
space (i.e. particle positions and transverse velocities), computed using
IMPACT, for the beam propagating in the LEDA Halo Experiment. The colorbar
shows the encoding of the magnitude of the velocities.
More information. R. Ryne and J.Qiang, LBNL |
|
Electron-Atom and Electron-Molecule Collision Processes. Click
here for more information.
C. William McCurdy et al. |
This 28 MB movie shows a time-evolving visualization of a numerical Tokomak simulation. (We found this movie in the dust bin, and are unable to provide appropriate citation information. If you know something about his work, please let us know and we'll provide the appropriate citation.) It was most likely computed by a research from the Princeton Plasma Physics Laboratory on a NERSC machine, with visualization performed by the LBL/NERSC Visualization Group. | |
Visualizing the Interactions of
Two Fluids, The goal was to develop a tool to view two interacting fluid
species at one time for a NERSC user at the College of William & Mary.
The final product was to create movies so that the time
dependent nature could be studied.
The final tool was written in IDL and the tool and
documentation
was released to the user.
Some examples movies are:
George Vahala, Physics Dept., William & Mary |
Semi-local cosmic string simulation performed at NERSC.
More information. Julian Borrill, NERSC |
|
An understanding of Cs-smectite systems is necessary to predict the
permeability of clay liners at nuclear waste containment facilities to
137-Cs radioactive waste.
More information. Rebecca Sutton, UCB, and Gary Sposito, UCB/LBNL |
This image, which appeared on the cover of Forbes ASAP magazine in 1998,
shows the "data fusion" resulting from visualization of simulated and
theoretical protein models. Using high performance visualization tools
and Virtual Reality interfaces, we explore model rectification and
comparison.
More information.
Ken Downing, UC Berkeley and LBNL. |
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The overall goal of this visualization is to highlight the differences between "layers" of molecular movement. In particular, molecules closer to the surface (towards the top of the picture) appear to move more than those further away from the surface (lower in the picture). More information. | |
More information. | |
These images show a theoretical chemical reaction: the dehydrogenation of
ethylene. Two H atoms are removed from the ethylene C2H4 molecule upon
interaction with a substrate of Nickel.
More information.
Michel Van Hove, Lawrence Berkeley National Laboratory |
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Researchers at Northwestern University are studying the enzyme
beta-lactamase. Specifically, the research is focused upon uncovering
the specific molecular mechanisms employed by the enzyme to hydrolyse
penicillin G, thus rendering it biologically inactive.
More information.
Paul Bash, Northwestern University |
This project focused on visualization of quantum physics simulation
data generated on the (then) new Cray T3E at NERSC.
More information. G. Kilcup, The Ohio State University. |
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In a 1997 LDRD,
Karsten Pruess (Earth Sciences Division, LBNL) and George Brimhall
(Geophysics, UC Berkeley) studied and modeled geophysical and
geochemical processes that resulted in an ore body of particular
interest in the desert of the Andes Mountains in the El Salvador
district of Chile. The images presented on this page show a
collaboration with the Visualiztion Group.
More information. K. Pruess, LBNL and G. Brimhall, UCB. |
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Reservoir characterization involves predicting production. Production
is a function of geophysical and geochemical parameters. Typically,
these parameters are estimated from samples. The challenge is better
predictions of these unknowns, as well as better tools for calculating
production given a set of parameters. Two separate projects were
demonstrated at Supercomputing 1997 in San Jose, CA.
More Images.
Don Vasco, Earth Sciences Division, LBNL. |
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Spring 1997: The VisGroup is working with scientists in ESD to create
a visualization showing the Yucca Mountain storage facility. This
visualization integrates divergent types of data, and will be used to
ask "what if" questions pertaining to water flow through the site.
Look for this model soon in in LBNL's Washington DC office.
More information.
Mark Feighner, Earth Sciences Division, LBNL. |
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Material Science research relies heavily on the use of Nuclear Magnetic
Resonance (NMR) to study materials. Researchers at LBNL and UC Berkeley
are working with the Visualization Group to explore the results of
computer simulations of NMR physics run on the NERSC T3E.
More information.
Bernd Pfrommer, UCB/LBNL. |
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Radiation damage to DNA and the repair thereof is being investigated at
LBNL by the Department of Radiation Biology and DNA Repair in the
Life Sciences
Division. Data sets contain tens of thousands atoms are generated.
Hierarchical methods of visualization are being investigated on
these data sets. More information.
Saira Mian, Bill Holley, Life Sciences Division, LBNL | ||
Reservoir characterization involves predicting production. Production
is a function of geophysical and geochemical parameters. Typically,
these parameters are estimated from samples. The challenge is better
predictions of these unknowns, as well as better tools for calculating
production given a set of parameters. Two separate projects were
demonstrated at Supercomputing 1997 in San Jose, CA.
More Information.
Don Vasco, Earth Sciences Divsion, LBL |
Our earliest work in combining scientific visualization, virtual reality and scientific computing occured in late 1992 and early 1993 with researchers from LBL's Earth Science Division. More information. |