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  1. I want to ask about GAMESS program

    Closed | Responses: 0

  2. Berkeley GW

    27 Sep 2009 | Tools | Contributor(s): Alexander S McLeod, Peter Doak, Sahar Sharifzadeh, Jeffrey B. Neaton

    This is an educational tool that illustrates the calculation of the electronic structure of materials using many-body perturbation theory within the GW approximation

  3. Mar 27 2015

    Computational Science and Engineering Student Conference at Purdue University

    On March 27 the Society of Industrial and Applied Mathematics will host the annual Computational Science and Engineering Student Conference at Purdue University. This conference will highlight the...

  4. David Rostcheck

    I graduated from Worcester Polytechnic Institute (WPI) with a BS in Physics in 1992. I did my MQP (thesis), "Self-Consistent Calculation of Electron Energy Levels in Quantum Heterostructures",...

  5. Edward Yesid Villegas

  6. Kapil Adhikari

  7. Mark Thomas Lusk

  8. Muhammad Ali A. Elmessary

    * B.Sc. (Hon), Electronics(Computers and Systems Engineering),Mansoura University, Mansoura, Egypt(2004).* Preparatory Year, Automatic Control SystemsMansoura University, Mansoura, Egypt(2005).*...

  9. Norman Chonacky

    Chonacky had a career as a physics professor at Southern Connecticut State University, and later at other schools as diverse as Bates College, Tufts University, and The Evergreen State College. He...

  10. Podolskaya I. Natalie

  11. Santosh KC

    Ph. D. Physics/Material Sc.University of Texas at Dallas, USA2014 (expected)M. S. PhysicsUniversity of Texas at Dallas, USA2011M. Sc. PhysicsTribhuvan University, Nepal 2007B. Sc. PhysicsTribhuvan...

  12. Vladimir I. Gavrilenko

    Prof. Vladimir I. Gavrilenko is at the Center for Materials Research and in the Department of Physics, of Norfolk State University, Norfolk, Virginia. He received his MS degree from T. Shevchenko...

  13. [Illinois] PHYS466 2013: Atomic Scale Simulations

    06 Feb 2013 | Courses | Contributor(s): David M. Ceperley

    Application of Monte Carlo and Molecular Dynamics techniques in primarily classical simulations to understand and predict properties of microscopic systems in materials science, physics, biology,..., a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.