Tags: scientific computing

Description

Scientific computing is the field of study concerned with constructing mathematical models and quantitative analysis techniques and using computers to analyze and solve scientific problems. In practical use, it is typically the application of computer simulation and other forms of computation to problems in various scientific disciplines.

Learn more about quantum dots from the many resources on this site, listed below. More information on Scientific Computing can be found here.

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  1. Frank Schuhmacher

    In 1987 graduated shortened training as a physics laboratorywith special distinction.Then work as a physics laboratory at Hoechst AG. Subsequently, a study of the physical technology.Working as an...

    http://nanohub.org/members/188874

  2. Muhammad Bilal

    Bilal’s research focuses on data-driven solutions for the environmental and health impact assessment of engineered nanomaterials (ENMs) using advanced machine learning/data mining and simulation...

    http://nanohub.org/members/179709

  3. Robert Radcliffe Gotwals

    http://nanohub.org/members/172027

  4. Ahmed-Amine Homman

    http://nanohub.org/members/82074

  5. Josef Weinbub

    http://nanohub.org/members/69620

  6. Purdue School on High Performance and Parallel Computing

    24 Nov 2008 | | Contributor(s):: Alejandro Strachan, Faisal Saied

    The goal of this workshop is to provide training in the area of high performance scientific computing for graduate students and researchers interested in scientific computing. The School will address current hardware and software technologies and trends for parallel computing and their...

  7. Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing

    13 Feb 2008 | | Contributor(s):: Jeffrey C Grossman, Elif Ertekin

    In this lecture, we discuss various methods for finding the ground state structure of a given system by minimizing its energy. Derivative and non-derivative methods are discussed, as well as the importance of the starting guess and how to find or generate good initial structures. We also briefly...

  8. Opening Remarks: Excellence in Computer Simulation

    03 Jan 2008 | | Contributor(s):: Mark Lundstrom

    Opening remarks for the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.

  9. Challenges and Strategies for High End Computing

    20 Dec 2007 | | Contributor(s):: Katherine A. Yelick

    This presentation was one of 13 presentations in the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.

  10. Scaling Simulation Impact

    20 Dec 2007 | | Contributor(s)::

    This presentation was one of 13 presentations in the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.

  11. Session 3: Discussion

    20 Dec 2007 |

    Discussion led by Jim Demmel, University of California at Berkeley.

  12. Session 4: Discussion

    20 Dec 2007 |

    Discussion led by Mark Allendorf, Sandia National Laboratory.

  13. Computational Mathematics: Role, Impact, Challenges

    20 Dec 2007 | | Contributor(s):: Juan C. Meza

    This presentation was one of 13 presentations in the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.

  14. Session 1: Discussion

    19 Dec 2007 |

    Discussion led by Mark Lundstrom, Purdue University.

  15. Excellence in Computer Simulation

    19 Dec 2007 | | Contributor(s):: Mark Lundstrom, Jeffrey B. Neaton, Jeffrey C Grossman

    Computational science is frequently labeled as a third branch of science - equal in standing with theory and experiment, and computational engineering is now an essential component of technology development and manufacturing. The successes of computational science and engineering (CSE) over the...

  16. HPCW Condor: High Throughput Computing

    09 Oct 2007 | | Contributor(s):: Thomas (Tom) Kesler

    Condor is a research project of the University of Wisconsin. It offers an environment called "High Throughput Computing" for compute-intensive jobs. Condor can manage a collection of compute nodes and can harness wasted CPU power from otherwise idle workstations of a cluster or desktop. Condor...

  17. High Performance Computing Training Workshop

    09 Oct 2007 |

    The Computing Research Institute and the Rosen Center for Advanced Computing hosted a training workshop on High Performance Computing August 6 &7, and September 10 & 11, 2007. The goal of this workshop is to increase the attendees’ knowledge of parallel architectures and parallel programming on...

  18. HPCW High-end HPC Architectures

    09 Oct 2007 | | Contributor(s):: Mithuna Thottethodi

  19. HPCW Parallel Programming Models

    09 Oct 2007 | | Contributor(s):: Sam Midkiff

  20. Nahil Sobh

    Nahil Sobh is the site-lead of NCN at the University of Illinois and Project Lead for the KnowEnG’s Data Science Implementation team. He received a Ph.D. in Applied Mathematics, and a Ph.D....

    http://nanohub.org/members/22330