The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Variational Monte-Carlo Studies of Superconductivity in Strongly Correlated Electron Systems
Abstract
A variational Monte-Carlo method is formulated to study superconductivity in strongly correlated electrons. An application is made to the strongly correlated Hubbard model on two-dimensional square lattice, by employing the simplest mean-field-type trial wave function, i.e. the Gutzwiller-projected BCS wave function. Among the various choices examined, the d-wave-type superconductivity turns out to be the most favorable. The nature of the superconducting order parameter and spin correlations is also examined.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Possible highT c superconductivity in the Ba?La?Cu?O system
Bednorz, J. G., & M�ller, K. A. (1986) · Zeitschrift f�r Physik B Condensed Matter · doi:10.1007/bf01303701 · Cited by 14,319
Cited by
Correlated electrons in high-temperature superconductors
Dagotto, E. (1994) · Reviews of Modern Physics · doi:10.1103/revmodphys.66.763 · Cited by 3,119
Ogata, M., & Shiba, H. (1990) · Physical Review B · doi:10.1103/physrevb.41.2326 · Cited by 638
Self-citationSuperconductivity and the Pseudogap in the Two-Dimensional Hubbard Model
Gull, E., Parcollet, O., & Millis, A. J. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.216405 · Cited by 317
Absence of Superconductivity in the Pure Two-Dimensional Hubbard Model
Qin, M., Chung, C.-M., Shi, H., Vitali, E., Hubig, C., Schollwöck, U., White, S. R., Zhang, S., & Simons Collaboration on the Many-Electron Problem (2020) · Physical Review X · doi:10.1103/physrevx.10.031016 · Cited by 298
Metadata
- Authors
- Yokoyama, H., & Shiba, H.
- Venue
- Journal of the Physical Society of Japan
- Publisher
- Physical Society of Japan
- Published
- 1988-07-15
- Volume
- 57
- Issue
- 7
- Pages
- 2482-2493
- ISSN
- 0031-9015 (ISSN-L)
- 1347-4073
- OpenAlex
- W2014374787
- Cited by
- 207
- References
- 1
- FWCI
- 5.15
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Variational Monte-Carlo Studies of Superconductivity in Strongly Correlated Electron Systems. https://app.cochat.ai/papers/10.1143/jpsj.57.2482
- The paper
- Yokoyama, H., & Shiba, H. (1988). Variational Monte-Carlo Studies of Superconductivity in Strongly Correlated Electron Systems. Journal of the Physical Society of Japan. https://doi.org/10.1143/jpsj.57.2482
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
