mirror of
https://github.com/triqs/dft_tools
synced 2024-12-26 06:14:14 +01:00
60 lines
2.3 KiB
ReStructuredText
60 lines
2.3 KiB
ReStructuredText
.. meta::
|
|
:description: TRIQS: a Toolbox for Research on Interacting Quantum Systems
|
|
:keywords: triqs quantum interacting systems toolbox research
|
|
|
|
.. _welcome:
|
|
|
|
Welcome
|
|
=======
|
|
|
|
.. sidebar:: TRIQS 1.0
|
|
|
|
This is the homepage of the new TRIQS 1.0. Many things
|
|
have changed and been improved since the versions 0.x.
|
|
The format of the archives and names of some python classes
|
|
have changed too. So go look at our :ref:`changelog page <changelog>`
|
|
to find out how to upgrade to 1.0.
|
|
|
|
TRIQS (**T**\oolbox for **R**\esearch on **I**\nteracting **Q**\uantum **S**\ystems)
|
|
is a scientific project providing a set of C++ and Python libraries to develop new tools
|
|
for the study of interacting quantum systems.
|
|
|
|
The goal of this toolkit is to provide condensed matter physicists with
|
|
some high level, efficient and simple to use libraries in C++ and Python,
|
|
and to promote the use of modern programming techniques in our field.
|
|
|
|
TRIQS is free software (GPL).
|
|
|
|
TRIQS applications
|
|
-----------------------
|
|
|
|
Based on the TRIQS toolkit, several :ref:`full-fledged applications <applications>`
|
|
are also maintained by the TRIQS collaboration. They allow for example to
|
|
solve a generic quantum impurity model or to run a complete LDA+DMFT
|
|
calculation.
|
|
|
|
Elaborated in a collaboration between IPhT Saclay and Ecole Polytechnique since 2005,
|
|
the TRIQS library and applications have allowed to address questions as diverse as:
|
|
|
|
* Momentum-selective aspects on cuprate superconductors (with various cluster DMFT)
|
|
* Degree of correlation in iron-based superconductors (within an LDA+DMFT approach)
|
|
* Fermionic Mott transition and exploration of Sarma phase in cold-atoms
|
|
|
|
|
|
Python & C++
|
|
-----------------------------
|
|
|
|
The libraries exist at two
|
|
complementary levels: on the one hand, C++ libraries allow to quickly develop
|
|
performant low-level codes; on the other hand python libraries implement the
|
|
most common many-body objects, like Green's functions, that can be manipulated
|
|
easily in python scripts.
|
|
|
|
This duality is a real advantage in the development of new many-body tools.
|
|
Critical parts where performance is essential can be written in C++ (like a
|
|
quantum impurity solver) while the manipulation of the results, preparation of
|
|
the inputs or interface with other programs can be done at the very
|
|
user-friendly python level.
|
|
|
|
|