Pregled bibliografske jedinice broj: 875683
Fundamental Building Blocks of Strongly Correlated Wave Functions
Fundamental Building Blocks of Strongly Correlated Wave Functions // Journal of superconductivity and novel magnetism, 30 (2017), 1; 35-41 doi:10.1007/s10948-016-3799-1 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 875683 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Fundamental Building Blocks of Strongly Correlated Wave Functions
Autori
Sunko, Denis
Izvornik
Journal of superconductivity and novel magnetism (1557-1939) 30
(2017), 1;
35-41
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Strong correlations, Many-body wave functions, Invariant theory
Sažetak
The calculation of realistic N-body wave functions for identical fermions is still an open problem in physics, chemistry, and materials science, even for N as small as two. A recently discovered fundamental algebraic structure of many-body Hilbert space allows an arbitrary many-fermion wave function to be written in terms of a finite number of antisymmetric functions called shapes. Shapes naturally generalize the single-Slater-determinant form for the ground state to more than one dimension. Their number is exactly N!^(d−1) in d dimensions. An efficient algorithm is described to generate all fermion shapes in spaces of odd dimension, which improves on a recently published general algorithm. The results are placed in the context of contemporary investigations of strongly correlated electrons.
Izvorni jezik
Engleski
Znanstvena područja
Fizika
POVEZANOST RADA
Projekti:
202759
119-1191458-0512 - Niskodimenzionalni jako korelirani vodljivi sustavi (Barišić, Slaven, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Denis Sunko
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- INSPEC