EconPapers    
Economics at your fingertips  
 

Large Scale Numerics Uncovering New States of Matter

A. Moreno (), J. M. P. Carmelo () and A. Muramatsu ()
Additional contact information
A. Moreno: Universität Stuttgart, Institut für Theoretische Physik III
J. M. P. Carmelo: Universität Stuttgart, Institut für Theoretische Physik III
A. Muramatsu: Universität Stuttgart, Institut für Theoretische Physik III

A chapter in Sustained Simulation Performance 2013, 2013, pp 129-136 from Springer

Abstract: Abstract While in condensed matter systems the constituents are well known, namely electrons, neutrons and protons, their interplay may give rise to unexpected states of matter. In this contribution we concentrate on strongly correlated electrons in one dimension driven out of equilibrium. This requires in principle, the solution of Schrödinger’s equation dealing with a space of states, whose dimension increases exponentially with the number of electrons. Implementing an algorithm that requires only polynomially increasing computational resources, namely the time-dependent density matrix renormalization group (t-DMRG), we show that an electron injected into the system, fractionalizes in several portions, some of them carrying charge but no spin, and others carrying the spin and partial charge, in spite of the electron being an elementary particle in isolation. The characterization of such a fractionalization of charge and spin was made possible by the access to HPC plattforms with large memory processors.

Keywords: Time-dependent Density Matrix Renormalization Group; SUSY Point; Spin-charge Separation; Bethe Ansatz Solution; Charge Excitations (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-01439-5_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319014395

DOI: 10.1007/978-3-319-01439-5_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-22
Handle: RePEc:spr:sprchp:978-3-319-01439-5_9