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

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Dataset information

Catalog

Universitätsbibliothek Würzburg catalog

Country of origin

Germany

Updated

2025.11.20 00:00

Created

2024.01.01

Available languages

English

Keywords

geometrische-frustration, dimer-konfiguration, density-matrix-renormalization-group, heisenberg-modell, convolutional-neural-network, quantum-magnetism

Datasource

Official portal for European data link

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Dataset description

Abstract: 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. Other: 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.

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