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.

All Categories (1-20 of 26)

  1. Nathaniel Curran

    https://nanohub.org/members/339989

  2. super saiyan

    https://nanohub.org/members/319708

  3. Tom C Hamilton

    https://nanohub.org/members/318919

  4. Interactive Learning Tools for Scientific Computing and Data Analysis Using R

    29 Jul 2020 | | Contributor(s):: Cindy Nguyen, Rei Sanchez-Arias

    Root-finding methods and numerical optimization techniques with applications in science, engineering, and data analysis

  5. Adolfo Catral Sanabria

    My education is in computer science, mathematics and linguistics principally, but I am a Cross Field Researcher; I use mathematics and my other knowledge to study many fields.

    https://nanohub.org/members/231624

  6. Sebastian Jan Juchnowski

    https://nanohub.org/members/197883

  7. 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...

    https://nanohub.org/members/188874

  8. 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...

    https://nanohub.org/members/179709

  9. Robert Radcliffe Gotwals

    https://nanohub.org/members/172027

  10. Ahmed-Amine Homman

    https://nanohub.org/members/82074

  11. Josef Weinbub

    https://nanohub.org/members/69620

  12. 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...

  13. 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...

  14. 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.

  15. 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.

  16. Scaling Simulation Impact

    20 Dec 2007 | | Contributor(s):: Ian Foster

    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.

  17. Session 3: Discussion

    20 Dec 2007 |

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

  18. Session 4: Discussion

    20 Dec 2007 |

    Discussion led by Mark Allendorf, Sandia National Laboratory.

  19. 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.

  20. Session 1: Discussion

    19 Dec 2007 |

    Discussion led by Mark Lundstrom, Purdue University.