Programs in Physics & Physical Chemistry
|[Licence| Download | New Version Template] aedj_v2_0.tar.gz(10324 Kbytes)|
|Manuscript Title: Implementation of the SU(2) Hamiltonian Symmetry for the DMRG Algorithm|
|Authors: G. Alvarez|
|Program title: DMRG++|
|Catalogue identifier: AEDJ_v2_0|
Distribution format: tar.gz
|Journal reference: Comput. Phys. Commun. 183(2012)2226|
|Programming language: C++.|
|Operating system: Multiplatform, tested on Linux.|
|Has the code been vectorised or parallelized?: Yes. 1 to 8 processors with MPI, 2 to 4 cores with pthreads.|
|RAM: 1GB (256MB is enough to run the included test)|
|Keywords: Density-matrix renormalization group, DMRG, Strongly correlated electrons, Generic programming.|
|PACS: 71.10.Fd 71.27.+a 78.67.Hc.|
External routines: BLAS and LAPACK
Nature of problem:
Strongly correlated electrons systems, display a broad range of important phenomena, and their study is a major area of research in condensed matter physics. In this context, model Hamiltonians are used to simulate the relevant interactions of a given compound, and the relevant degrees of freedom. These studies rely on the use of tight-binding lattice models that consider electron localization, where states on one site can be labeled by spin and orbital degrees of freedom. The calculation of properties from these Hamiltonians is a computational intensive problem, since the Hilbert space over which these Hamiltonians act grows exponentially with the number of sites on the lattice.
The DMRG is a numerical variational technique to study quantum many body Hamiltonians. For one-dimensional and quasi one-dimensional systems, the DMRG is able to truncate, with bounded errors and in a general and efficient way, the underlying Hilbert space to a constant size, making the problem tractable.
Varies. The test suite provided takes about 10 minutes to run on a serial machine.
|Disclaimer | ScienceDirect | CPC Journal | CPC | QUB|