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Computation and Simulation

The National Nanotechnology Infrastructure Network's computational project (NNIN/C) is a multi-university initiative, funded by the National Science Foundation (NSF) as part of NNIN, to establish a national computing resource for nanotechnology. This network is open to the academic and industrial research community and provides hardware resources and simulation tools dedicated to nanoscience research. Strong technical and scientific support is provided by staff experts so that the tools and resources can benefit interdisciplinary research. The software tools include commercial software packages for design, characterization and analysis of nanometer scale devices as well as some of the latest academic advances in nanoscale modeling and simulation software.

Goals of NNIN/C

Are You a Future Member ? 

CUDA Workshop at Harvard University

Nano by Numbers, M. Stopa 

SETE calculation scheme for SPM tip and semiconductor nanowire

Unlike traditional sciences where immutable nature is the object of study and the goal is to uncover her underlying principles, nanoscience is a field of directed discovery requiring the fabrication of new systems and materials which fulfill sophisticated functions that answer to human needs. The object of nanoscience is not to make big things small and therefore easy to carry. Rather it is to permit control of the constituents of nature on their most elementary scale, be it for molecular sensing, photon manipulation, or the spin and space quantum states of a single electron, in order to reach unprecedented thresholds of coherence, speed and performance as well as to use the principles of matter at the nanoscale to create new functionalities.

                                                                                                                                                                        

NNIN Workshops and Conferences

The NNIN/C is committed to providing events that help researchers explore the nanoscale regime.  This has taken the form of a series of workshops with tutorials and hands-on sessions and also conferences linking experiment and simulation at the nanoscale.  More information, including lectures and calculation examples can be found below:

 

Software Resources

Software packages hosted by NNIN/C include the following, which are available, installed, and supported by NNIN staff at the NNIN computation sites. Some licensing restrictions my apply to some users.
 

  • HARES (High performance fortran Adaptive grid Real space Electronic Structure) calculates atomic level electronic structure of crystals and small molecules using a real space, adaptive grid. [Waghmere et al., cond-mat/0006183].
  • Abinit- A plane wave pseudopotential first principles code.
  • EDIP (Environment Dependent Interatomic Potential) computes interatomic forces in covalent solids and liquids which incorporates recent theoretical advances in understanding the environment dependence of (sigma) chemical bonding in condensed phases. [N. A. Marks, Phys. Rev. B 63 035401 (2001), M. Bazant et al., Phys. Rev. B 56, 8542 (1997)].
  • SETE (Single Electron Tunneling Elements) calculates electronic structure, in the effective mass approximation, of two dimensional electron gas (2DEG) based heterostructures such as quantum dots and wires. [M. Stopa, Phys. Rev. B 54, 13767 (1996)].
  • LM Suite – Linear Muffin tin orbital software package does ASA and full potential calculations and can be used for fully non-equilibrium transport calculations using a Green's function approach.
  • NWChem is a computational chemistry package that is designed to run on high-performance parallel supercomputers as well as conventional workstation clusters.
  • SEMC-2D (Schrodinger Equation Monte-Carlo) simulation for quantum transport and scattering in nanoscale non-classical CMOS employing non-equilibrium Green function techniques.
  • UTQUANT is a quasi-static CV simulator for one-dimensional silicon MOS structures.
  • ANEBA (Adaptive Nudged Elastic Band Approach) locates the saddle point in the potential energy surface between an initial and a final state in a physical transition process such as a chemical reaction or diffusion process.
  • MIT Photonic Bands (MPB)  Package to compute the band structure and electromagnetic modes of periodic dielectric structures.
  • MEEP This is an open source finite difference time domain (FDTD) simulation code developed at MIT.
  • UT-MARLOWE is a neutron transport simulator which models scattering, electronic stopping, and damage accumulation. [see: http://homer.mer.utexas.edu/utmarlowe ].
  • TOMCAT (TOpography based Monte CArlo Transport) is a general-purpose Monte Carlo simulator of particle transport in arbitrary 2-D structures.  The main application of TOMCAT is in the simulation of ion implantation.  For more info seehttp://homer.mer.utexas.edu/tomcat02/
  • CPMD (Carr-Parrinello Molecular Dynamics code) – is used to perform ab-initio molecular dynamics.  It allows for time-dependent DFT, wavefunction optimization, and path integral molecular dynamics.
  • PARSEC (Pseudopotential Algorithms for Real Space Energy Calculations) solves the atomistic electronic structure problem for using a real space approach.  This technique is ideal for modeling small clusters, molecules, and finite nanowires.
  • Quantum Espresso (also known as PWscf) This plane wave density functional code takes advantage of ultra-soft pseudopotentials to accelerate calculations.  In addition, it has the ability to handle magnetic nanostructures, calculate phonon dispersions, and perform structural relaxations.
  • Siesta - (Spanish Initiative for Electronic Simulations with Thousands of Atoms)  This code uses numerically truncated orbitals (single, double, and triple zeta approach) to build on order-N density functional functional code.  This code is ideal for modeling large scale nanostructures (i.e.
    nanotubes, nanowires, and clusters)
  • LAMMPS - general purpose molecular dynamics simulator that has the option to use leonard-jones potentials, embedded atom potentials, and potentials for biomolecules and proteins.  This parallel code can easily handle systems with thousands of atoms.  The ability to incorporate the effect of temperature is an important complement to density functional techniques.
  • Elmer - This multiphysics package allows you to model coupled problems using finite element techniques.  This could include current induced heating, vibrations in cantilevers, and fluid flow in microchannels.

Additionally, subject to licensing restrictions, NNIN will provide a series of commercial packages and mathematics libraries that include: Matlab, Femlab, ATLAS (self-optimizing LAPACK/BLAS), SILVACO, CADENCE (Electronic layout, modeling, synthesis tool), IntelliSuite (Mechanical modeling tool), Gnu scientific library, FFTW and Intel MKL libraries.

 



Computational Advice and Support

Critical to NNIN's concept of a user facility is provision of adequate technical support to make the resources useful. This holds for both experimental and computational resources. There is a lot of scientific and technical expertise that is required to properly use the right computational code for the right problem in the right way.  This high level of technical support is provided, free of charge, to NNIN computational users through our computational technical liaisons. These include Dr. Michael Stopa stopa@deas.harvard.edu  of Harvard and  Dr. Derek Stewart  stewart@cnf.cornell.edu  of Cornell  They are published scientists with expertise in a variety of physical systems and computational resources. They can be an effective  part of your project.

 To get an idea of past projects and how our services may help you, please see the list of publications from the Cornell cluster. 

Information

For information on any NNIN computational resource or to find out more about starting a project, please contact  Dr. Michael Stopa stopa@deas.harvard.edu  or Dr. Derek Stewart  stewart@cnf.cornell.edu .  As with all NNIN resources, computational resources and support are available on an open basis to all users.

 

Last Revised 8/9/2009 Michael Stopa



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