v16.04.21a

A Virtual Machine for Computational Materials Science

Installation instructions

Get Quantum Mobile running on your computer in three simple steps:

  1. Download virtual machine image (4.7 GB)

    • URL: https://bit.ly/3v11EV8

    • Filename: quantum_mobile_16.04.21a.ova

    • MD5 hash: 293b2b7f268870f1dc7bf5b8a0c0ffa6

  2. Install Virtual Box 6.1.6 or later (see https://www.virtualbox.org)

  3. Import virtual machine image into Virtualbox (14.0 GB) File => Import Appliance

Login credentials: username: max, password: moritz.
The default configuration of 2 cores and 1536 MB RAM can be adjusted in the VM settings.

Alternatively, this Quantum Mobile is available as a Docker image: https://hub.docker.com/r/marvelnccr/quantum-mobile

Contact

For issues encountered during installation, please first consult the FAQ page.

Please direct inquiries regarding Quantum Mobile to the AiiDA mailinglist

Changelog

  • ✨ NEW: Added nwchem simulation code

  • ⬆️ UPDATE: aiida-core (1.5.2) and plugins

  • ‼️ BREAKING: AiiDA codes labelled by executable version

  • ✨ NEW: Added quantum-espresso AiiDAlab app

See the software summary for more information.

Build Process

  • OS: MacOSX

  • Ansible: 2.10.2

  • Vagrant: 2.2.9

  • Virtualbox: 6.1.18r142142

  • Base VM Image: bento/ubuntu-18.04

Software Summary

[MPI libraries]
openmpi = Run using 'mpirun <NUMPROCS> <EXECNAME>'
[Plotting Tools]
available tools = xmgrace, gnuplot, xcrysden, jmol
[Atomic Tools]
available tools = cif2cell
[Quantum Mobile]
version = 16.04.21a
Operating System = Ubuntu 18.04.5 LTS
Login credentials = max / moritz
[Quantum ESPRESSO]
version = 6.5
usage = Quantum ESPRESSO is installed in /usr/local. 'pw.x', 'cp.x', ... have been added to the PATH
[Yambo]
version = 4.5.2
usage = Yambo is compiled and installed in /usr/local. Simply run 'yambo'.
[fleur]
version = 0.30 MaX4
usage = fleur is compiled and installed in /usr/local. The folder with executables is added to the path, so simply run 'fleur'
[cp2k]
usage = cp2k binary was downloaded from source forge. simply run 'cp2k.ssmp'
version = 7.1
[Wannier90]
version = 3.1.0
usage = Wannier90 is installed in /usr/local. 'wannier90.x', 'postw90.x', ... have been added to the PATH
[bigdft]
version = 1.9.1
usage = bigdft is compiled and installed in /usr/local. simply run 'bigdft'
[nwchem]
version = 7.0.2
usage = nwchem is compiled and installed in /usr/bin. Simply run 'nwchem'.
[siesta]
version = MaX-1.2.0
usage = siesta is compiled and installed in /usr/local. Simply run 'siesta' or any of its utilites:
   mprop
   fat
   gnubands
   eigfat2plot ...
   ...
   mprop
   fat
   gnubands
   eigfat2plot ...
   ...
utility_plstm = Post-processor for LDOS or RHO data for STM imaging
utility_stm = Generator of LDOS data (with opt wf projection) for STM imaging
utility_unfold = Unfolding utility
utility_denchar = Charge density and wave-function plotting
utility_g2c_ng = Converter from native grid to Cube format
utility_macroave = Macroscopic averages processor
utility_mprop = COOP/COHP processor
utility_fat = Fat-bands processor
utility_gnubands = Band-structure plotting
utility_eigfat2plot = Fat-bands plotting
utility_readwfx = Read contents of WFSX files
utility_vibra = Computes phonon frequencies
utility_fcbuild = Pre-processor for force-constant calculation
utility_tbtrans = Transport post-processor
pps = PSML pseudopotentials have been downloaded to: /usr/local/share/siesta
[abinit]
version = 9.2.1
usage = abinit is compiled and installed in /usr/local. Simply run 'abinit'.
[AiiDA]
version = 1.5.2
usage = AiiDA is installed in a Python 3.7 venv: ${HOME}/.virtualenvs/aiida. Type 'workon aiida' to get access to the 'verdi' commands. See https://aiidateam.github.io/aiida-registry for plugin information.
computers = localhost has already been set up and configured. List all available computers with 'verdi computer list -a'
SSSP_1.1_efficiency = pseudopotential family SSSP_1.1_efficiency: Standard Solid State Pseudopotentials (efficiency) for the PBE functional homepage: https://materialscloud.org/sssp/
SSSP_1.1_precision = pseudopotential family SSSP_1.1_precision: Standard Solid State Pseudopotentials (precision) for the PBE functional homepage: https://materialscloud.org/sssp/
sg15-oncv-1.1 = pseudopotential family sg15-oncv-1.1: SG15 Optimized Norm-Conserving Vanderbilt (ONCV) pseudopotentials homepage: http://www.quantum-simulation.org/potentials/sg15_oncv/
[AiiDA Plugins]
aiida-abinit = 0.2.0a1
aiida-bigdft = 0.2.1a2
aiida-cp2k = 1.2.0
aiida-fleur = 1.1.4
aiida-nwchem = 2.0.0
aiida-quantumespresso = 3.4.0
aiida-siesta = 1.1.0
aiida-wannier90 = 2.0.1
aiida-wannier90_workflows = 1.0.1
aiida-yambo = 1.1.3
[Jupyter Lab]
usage = Jupyter is installed in a Python 3.7 venv: ${HOME}/.virtualenvs/jupyter. Type 'aiida-jupyterlab' to launch Jupyter Lab, and select the 'python3' kernel.
[AiiDAlab Apps]
home = v21.02.0
aiidalab-widgets-base = v1.0.0b15
quantum-espresso = v20.12.0