Phase diagram of the J-Jd Heisenberg Model on the Maple-Leaf Lattice: Neural networks and density matrix renormalization group

DOI

We microscopically analyze the nearest-neighbor Heisenberg model on the maple leaf lattice through neural quantum state (NQS) and infinite density matrix renormalization group (iDMRG) methods. This dataset contains the numerical data shown in Figs. 2, 4 and 5 of Phys. Rev. B 109, 184422. Further information is provided in the contained readme.

This work is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Project ID 258499086-SFB 1170 and the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter—ct.qmat Project ID 390858490-EXC 2147.

Numerical Simulation

Identifier
DOI https://doi.org/10.58160/bywa8wqgdc7h2qx9
Related Identifier IsSupplementTo https://doi.org/10.1103/PhysRevB.109.184422
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.58160/bywa8wqgdc7h2qx9
Provenance
Creator Beck, Jonas ORCID logo; Bodky, Jonathan ORCID logo; Motruk, Johannes ORCID logo
Publisher University of Würzburg
Contributor RADAR
Publication Year 2024
Funding Reference Deutsche Forschungsgemeinschaft https://ror.org/018mejw64 ROR 390858490 https://gepris.dfg.de/gepris/projekt/390858490 EXC 2147: Komplexität und Topologie in Quantenmaterialien (CT.QMAT); Deutsche Forschungsgemeinschaft https://ror.org/018mejw64 ROR 258499086 https://gepris.dfg.de/gepris/projekt/258499086 SFB 1170: Topologische und korrelierte Elektronik in Ober- und Grenzflächen ("ToCoTronics"); Swiss National Science Foundation https://ror.org/00yjd3n13 ROR 210478 https://data.snf.ch/grants/grant/210478 Emergence and detection of strongly correlated topological phases in moiré materials
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Discipline Natural Sciences; Physics
Temporal Coverage 2023-2024