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Absence of Off-Diagonal Long-Range Order in hcp
de Koning, Maurice; Cai, Wei; Cazorla, Claudio; Boronat, Jordi.
Afiliação
  • de Koning M; Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, UNICAMP, 13083-859, Campinas, São Paulo, Brazil and Center for Computing in Engineering and Sciences, Universidade Estadual de Campinas, UNICAMP, 13083-861, Campinas, São Paulo, Brazil.
  • Cai W; Department of Mechanical Engineering, Stanford University, Stanford, California 94305-4040, USA.
  • Cazorla C; Departament de Física, Universitat Politècnica de Catalunya, Campus Nord B4-B5, 08034 Barcelona, Spain.
  • Boronat J; Departament de Física, Universitat Politècnica de Catalunya, Campus Nord B4-B5, 08034 Barcelona, Spain.
Phys Rev Lett ; 130(1): 016001, 2023 Jan 06.
Article em En | MEDLINE | ID: mdl-36669220
ABSTRACT
The mass transport properties along dislocation cores in hcp ^{4}He are revisited by considering two types of edge dislocations as well as a screw dislocation, using a fully correlated quantum simulation approach. Specifically, we employ the zero-temperature path-integral ground state (PIGS) method together with ergodic sampling of the permutation space to investigate the fundamental dislocation core structures and their off-diagonal long-range order properties. It is found that the Bose-Einstein condensate fraction of such defective ^{4}He systems is practically null (≤10^{-6}), just as in the bulk defect-free crystal. These results provide compelling evidence for the absence of intrinsic superfluidity in dislocation cores in hcp ^{4}He and challenge the superfluid dislocation-network interpretation of the mass-flux-experiment observations, calling for further experimental investigation.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador Limite: Animals Idioma: En Revista: Phys Rev Lett Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador Limite: Animals Idioma: En Revista: Phys Rev Lett Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil