Tags: visualization


Simulators can produce all sorts of numbers, but the numbers themselves aren't terribly meaningful until they are put into context by visualization techniques. For example, the coordinates of the various atoms in a molecule don't readily convey the shape of the molecule, but once those coordinates are loaded into VMD, the the resulting picture conveys not only the shape of the molecule, but other important properties as well.

Learn more about visualization techniques from the resources on this site, listed below.

Online Presentations (21-34 of 34)

  1. Launch of a Nanoscale Informal Science Education Network

    21 Feb 2006 | | Contributor(s):: larry bell

    The Museum of Science, Boston, in partnership with the Science Museum of Minnesota and the Exploratorium in San Francisco, has been selected by the National Science Foundation (NSF) to form and lead a national Nanoscale Informal Science Education Network (NISE Network) comprised of multiple...

  2. How Can Your Educational Modules Contain Interactive Online Simulation?

    28 Feb 2005 | | Contributor(s):: Gerhard Klimeck

    The Network for Computational Nanotechnology (NCN) is a multi-university, NSF-funded initiative with a mission to lead in research, education, and outreach to students and professionals, while at the same time deploying a unique web-based cyber-infrastructure to serve the nation''s National...

  3. Embedding science and technology education into students' lifestyles and technology choices

    06 Dec 2005 | | Contributor(s):: Krishna Madhavan

    Learning experiences of the future will be multi-sensory, engage technologies and significant computational power continuously and invisibly, and will be completely engaging. The emergence of highly cross-disciplinary fields like nanoscale science and technology, bioinformatics, and...

  4. VolQD: Graphics Hardware Accelerated Interactive Visual Analytics of Multi-million Atom Nanoelectronics Simulations

    13 Dec 2005 | | Contributor(s):: wei qiao

    In this work we present a hardware-accelerated direct volume renderingsystem for visualizing multivariate wave functions in semiconductingquantum dot (QD) simulations. The simulation datacontains the probability density values of multiple electron orbitalsfor up to tens of millions of atoms,...

  5. First Principles-based Atomistic and Mesoscale Modeling of Materials

    01 Dec 2005 | | Contributor(s):: Alejandro Strachan

    This tutorial will describe some of the most powerful and widely used techniques for materials modeling including i) first principles quantum mechanics (QM), ii) large-scale molecular dynamics (MD) simulations and iii) mesoscale modeling, together with the strategies to bridge between them....

  6. Bandstructure in Nanoelectronics

    01 Nov 2005 | | Contributor(s):: Gerhard Klimeck

    This presentation will highlight, for nanoelectronic device examples, how the effective mass approximation breaks down and why the quantum mechanical nature of the atomically resolved material needs to be included in the device modeling. Atomistic bandstructure effects in resonant tunneling...

  7. Nanoparticle Synthesis and Assembly for Biological Sensing

    25 Oct 2005 | | Contributor(s):: Gil Lee

    Nanoparticles have unique physical and chemical properties that make them very useful for biological and chemical sensing. For example, colloidal gold has been used as an optical transducer for antibody based sensing for over twenty years and is the basis for a many of the point-of-use...

  8. Quantum Dots

    21 Jul 2005 | | Contributor(s):: Gerhard Klimeck

    Quantum Dots are man-made artificial atoms that confine electrons to a small space. As such, they have atomic-like behavior and enable the study of quantum mechanical effects on a length scale that is around 100 times larger than the pure atomic scale. Quantum dots offer application...

  9. Parallel Computing for Realistic Nanoelectronic Simulations

    12 Sep 2005 | | Contributor(s):: Gerhard Klimeck

    Typical modeling and simulation efforts directed towards the understanding of electron transport at the nanometer scale utilize single workstations as computational engines. Growing understanding of the involved physics and the need to model realistically extended devices increases the...

  10. Numerical Aspects of NEGF: The Recursive Green Function Algorithm

    14 Jun 2004 | | Contributor(s):: Gerhard Klimeck

    Numerical Aspects of NEGF: The Recursive Green Function Algorithm

  11. Scientific Software Development

    29 Jun 2005 | | Contributor(s):: Clemens Heitzinger

    The development of efficient scientific simulation codes poses a wide range of problems. How can we reduce the time spent in developing and debugging codes while still arriving at efficient programs? What happens when our codes must interact with existing tools? In recent years, higher-level...

  12. NCN Cyberinfrastructure Overview

    21 Jun 2005 | | Contributor(s):: Gerhard Klimeck

    Presentation of the NCN cyberinfrastructure to the June 2005 NSF review team. The nanoHUB development over 12 months will be presented in a broad overview.

  13. HPC and Visualization for multimillion atom simulations

    21 Jun 2005 | | Contributor(s):: Gerhard Klimeck

    This presentation gives an overview of the HPC and visulaization efforts involving multi-million atom simulations for the June 2005 NSF site visit to the Network for Computational Nanotechnology.

  14. NEMO 1-D: The First NEGF-based TCAD Tool and Network for Computational Nanotechnology

    28 Dec 2004 | | Contributor(s):: Gerhard Klimeck

    Nanotechnology has received a lot of public attention since U.S. President Clinton announced the U.S.National Nanotechnology Initiative. New approaches to applications in electronics, materials,medicine, biology and a variety of other areas will be developed in this new multi-disciplinary...