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This is the homepage for the hands-on tutorial '''Laboratory of Quantum Simulation of Materials''' (LabQSM) held by Andrea Ferretti and Daniele Varsano, a university (master-level) class on electronic structure methods, with a particular focus on density functional theory (DFT).
This is the homepage for the hands-on tutorial '''Laboratory of Quantum Simulation of Materials''' (LabQSM), a university (master-level) class on electronic structure methods, with a particular focus on density functional theory (DFT).


Starting from 2016/2017, this training material has been extensively used in Master degree in Physics of the University of Modena and Reggio Emilia (UniMoRe), fall termx.
Starting from 2016/2017, this training material has been extensively used in Master degree in Physics of the University of Modena and Reggio Emilia (UniMoRe), fall terms.


'''Authors and credits''': Andrea Ferretti and Daniele Varsano
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== Getting Started ==
== Getting Started ==


In order to go through this tutorial you need to have access to a Unix/Linux machine, where you can run Unix terminals.
=== Machine setup and Training material ===
Software-wise, one needs the following:
* [[Getting Started#Machine setup| Machine setup]]
* One '''quantum engine''', i.e. a software able to run quantum mechanical DFT simulations. Here we consider [http://www.quantum-espresso.org Quantum ESPRESSO] (QE). During this class we'll be using QE-v6.5, though any version newer that 6.0 would do.
* [[Getting Started#Training material| Training material]]
* '''Structure visualization and builders''': applications like [http://www.xcrysden.org XcrySDen] or [https://jp-minerals.org/vesta/en/ VESTA](QE compatible structure visualization) and [https://avogadro.cc Avogadro] (molecular editor) will be used in the more advanced part of the class.
 
* General purpose '''scientific plotting tools'''. At least one of the following SW should be available: [https://plasma-gate.weizmann.ac.il/Grace/ (XM)Grace], [http://www.gnuplot.info Gnuplot], or python with [https://matplotlib.org matplotlib] support.
 
 
Several options are available:
* Opt1: Using the '''Quantum Mobile''' virtual machine (VM);
* Opt2: Connecting to '''existing machines''', compliant with the class, as provided by the tutors
* Opt3: Installing '''your own machine'''
=== Opt1: Using Quantum Mobile ===
 
Quantum mobile is a ready-to-go VM, thought to provide all MaX flagship codes (incl QE) together with AiiDA seamlessly integrated in a plug-and-play linux (Ubuntu) environment. Quantum Mobile is [https://www.materialscloud.org/work/quantum-mobile available] on the [https://www.materialscloud.org MaterialsCloud] portal.
 
Step by step installation:
* Download the latest version of Quantum Mobile, following the link here: [https://quantum-mobile.readthedocs.io/  https://quantum-mobile.readthedocs.io/]. By doing this you'll obtain a VM image.
* If not available, install [https://www.virtualbox.org VirtualBox] to run the Quantum Mobile VM.
* Double click on the Quantum Mobile and follow the instruction to start the VM.
* At this point, after few minutes, you should see a virtualised Ubuntu OS. By opening a terminal you'll see that pw.x (and the other required executables) are available. Among others, all executables from the QE distribution, XcrySDen, Grace, gnuplot, and python are all pre-installed.
* The unix accounting within the VM is as follows: 
    user: max    passwd: moritz
* Further information about Quantum Mobile installation can be found here: [https://github.com/marvel-nccr/quantum-mobile/releases/ https://github.com/marvel-nccr/quantum-mobile/releases/].
 
=== Opt2: Connecting to existing machines ===
 
=== Opt3: Installing the needed software in your own machine ===
 
If you want to use your desktop or laptop, be sure you have the following software installed:
 
* [http://www.quantum-espresso.org Quantum ESPRESSO]:
Download one of the latest tarsal archives (e.g. v6.5 or v6.6 from [https://gitlab.com/QEF/q-e/-/tags]), open it, and run the configure script. From command line you can issue:
  $>  wget  https://gitlab.com/QEF/q-e/-/archive/qe-6.5/q-e-qe-6.5.tar.gz
  $>  tar xvfz q-e-qe-6.5.tar.gz
  $>  cd q-e-qe-6.5
  $>  ./configure
  $>  make pw;  make pp
Most of the time the configure script is able to produce a (basic) working configuration even without specifying any flags. In case you want to refine the installation or have some troubles configuring, have a look at the configure manual
  $>  ./configure --help
 
* General purpose '''scientific plotting tools''': python and gnuplot (and in most cases Grace as well) can be installed by using software managers such as apt-get or yum (RedHat/CentOS). For the case of gnuplot
  $>  sudo apt-get install gnuplot    (or)
  $>  sudo yum install gnuplot        (RedHat)
* Structure visualization software ([http://www.xcrysden.org XcrySDen] or [https://jp-minerals.org/vesta/en/ VESTA]): check out the download and installation pages of the SW webpage.
 
=== Training material ===
In order to download the training material needed for these classes, clone the [https://github.com/max-centre/LabCQM LabQSM] repository from [https://github.com/ GitHub], by issuing the command:
  $>  git clone https://github.com/max-centre/LabQSM.git
 
No passed request is be prompted, and a folder called LabQSM is created locally. Inspect the contact of the folder by typing:
  $>  ls LabQSM/
        LAB_1    LICENSE  README.md docs      tools
 
On every new lecture, or when mentioned by the tutors, update the repository by typing:
  $>  cd LabQSM
  $>  git pull
 
You are now all set and ready to start the hands-on part.
'''Important notice''': do not edit any of the files contained in the repository unless requested (otherwise you may not be able to update the repository using the git pull command, the presence of local changes conflicting with this git operation).


== Link to Selected Laboratories ==
== Link to Selected Laboratories ==


=== Lecture 0: The Unix environment ===
=== Module 0: The Unix environment (3h)===
* [[Warming up with Unix commands]]
* [[Warming up with Unix commands]]
* [[Bash scripting ]]
* [[Scripting]]
* [[Plotting and visualization tools]]
 
=== Module 1: Basic DFT calculations and Convergences (9h) ===
* [[Structural and electronic properties of semiconductors and metals]]
* [[Non self-consistent calculations: Band structures and Density Of States]]


=== Lecture 1: Basic DFT calculations and Convergences ===
=== Module 2: DFT simulations of Molecules (6h) ===
*[[Electronic properties of isolated molecules]]


=== Lecture 2: DFT simulations of Molecules ===
=== Module 3: Low dimensional structures (6h) ===


=== Lecture 3: Surfaces and Low dimensional structures  ===
*[[Electronic properties of 2D and 1D systems]]

Latest revision as of 09:22, 1 April 2021

This is the homepage for the hands-on tutorial Laboratory of Quantum Simulation of Materials (LabQSM), a university (master-level) class on electronic structure methods, with a particular focus on density functional theory (DFT).

Starting from 2016/2017, this training material has been extensively used in Master degree in Physics of the University of Modena and Reggio Emilia (UniMoRe), fall terms.

Authors and credits: Andrea Ferretti and Daniele Varsano


Getting Started

Machine setup and Training material

Link to Selected Laboratories

Module 0: The Unix environment (3h)

Module 1: Basic DFT calculations and Convergences (9h)

Module 2: DFT simulations of Molecules (6h)

Module 3: Low dimensional structures (6h)