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Atomistix Toolkit® Features

News in ATK 2.3

               §  Improved and updated two-probe algorithm: calculations now converge faster and
                   easier
               §  New analysis tool for two-probe systems: Transmission eigenvalues and
                   eigenchannels
               §  Geometry optimization algorithms incorporated in the core code:
                               §  quasi-Newton method
                               §  molecular dynamics minimization/steepest descent method
               §  Geometry optimization for two-probe systems changed to prevent users from
                   finding the wrong minima
               §  equivalentBulkSystem() — a new function that extracts the central region of a two-
                   probe system as a ready bulk configuration
               §  nlPrint() — a new function for formatted printing of NanoLanguage objects
               §  Manual improvements:
                               §  New tutorials demonstrating optimization of two-probe systems and the
                                   use of transmission eigenvalues and eigenchannels
                               §  Extended tips section with discussions of the convergence of two-probe
                                   systems
               §  Minor bug fixes

Features in ATK 2.3

               §  Self-consistent first-principles density functional theory (DFT) description of
                   molecules, periodic systems and two-probe structures
               §  Non-equillibrium Green's function (NEGF) algorithm with complex contour
                   integration for the calculation of electron current under finite bias
               §  DFT functionals: LDA & GGA, LSDA & SGGA
               §  Geometry optimization: quasi-Newton and molecular dynamics
                   minimization/steepest descent methods
               §  NanoLanguage: a Python-based scripting environment
               §  Interactive mode: if started without any script as argument, ATK behaves like
                   IPython
               §  Spin-polarized calculation of current, transmission, and energy spectra
               §  Localized numerical SIESTA orbitals for efficient DFT calculations
               §  Up to double-zeta double polarized basis functions, generated on-the-fly with
                   possibility for custom optimization
               §  Check prohibits the use of the single-zeta basis set for the noble gases
                   (since this leads to failed calculations)
               §  Parallelized code (MPICH), specifically optimized for transport calculations
                   (k-point sampling and energy integrals, plus matrix element evaluation)
               §  Molecular levels and orbitals, HOMO/LUMO level for molecular systems
               §  Band structure, Bloch states, Fermi level for periodic systems
               §  Transmission spectrum, density of states (DOS), MPSH orbitals and spatially
                   resolved DOS for two-probe systems
               §  Transmission eigenvalues and eigenchannels
               §  Calculation of electron density and effective potentials
               §  Current-voltage characteristics of two-probe systems
               §  Monkhorst-Pack k-point sampling of crystal and two-probe systems
               §  k-point sampling for transmission spectrum/current
               §  Initial bulk run: Support for initializing a new calculation based on the density
                   matrix of a previously converged calculation
               §  Simulation of 3-terminal devices with an electrostatic gate through an applied
                   external potential in the central region
               §  Pseudopotentials database for the entire periodic table up to Lr (103)
               §  Specification of the electronic temperature (Fermi distribution)
               §  Customizable mixing strategies for the self-consistent scheme, with Broyden
                   or Pulay mixing
               §  Different electrode materials in two-probe systems
               §  Mulliken population analysis
               §  A convertTo() method for units
               §  Includes NumPy 1.0
               §  Checks of the type, allowed range etc of input parameters to avoid
                   unnecessary error messages
               §  Export of results to NetCDF files with a public format
               §  Export of results to vnl files for visualization and analysis in Virtual NanoLab
               §  FlexLM license system


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