From the 1 of 2.7k papers with an AI index.
3.3k citations
- University of the Basque CountryES1.8k papers
- Donostia International Physics CenterES996 papers
- Material Physics CenterES319 papers
- Centre National de la Recherche ScientifiqueFR299 papers
- CIC nanoGUNEES292 papers
- The University of TokyoJP257 papers
- National Taiwan UniversityTW246 papers
- Technical University of MunichDE233 papers
- Chinese Academy of SciencesCN231 papers
- Pacific Northwest National LaboratoryUS226 papers
- University of Hawaii SystemUS219 papers
- University of Science and Technology of ChinaCN219 papers
13 papers · 2 filters
An efficient method for strongly correlated electrons in one dimension
Ion Mitxelena, Mario Piris
The one-particle reduced density matrix functional theory in its natural orbital functional (NOF) version is used to study strongly correlated electrons. We show the ability of the…
Topological RVB quantum spin liquid on the ruby lattice
Saeed S. Jahromi, Roman Orus
We construct a short-range resonating valence-bond state (RVB) on the ruby lattice, using projected entangled-pair states (PEPS) with bond dimension . By introducing non-local…
Wigner Crystals in Two-Dimensional Transition-Metal Dichalcogenides: Spin Physics and Readout
Johannes Knörzer, Martin J. A. Schuetz, Geza Giedke +5
Wigner crystals are prime candidates for the realization of regular electron lattices under minimal requirements on external control and electronics. However, several technical cha…
Spin- kagome Heisenberg antiferromagnet with strong breathing anisotropy
Saeed S. Jahromi, Roman Orus, Didier Poilblanc +1
We study the zero-temperature phase diagram of the spin- Heisenberg model with breathing anisotropy (i.e., with different coupling strength on the upward and downward…
An efficient method for strongly correlated electrons in two-dimensions
Ion Mitxelena, Mario Piris
This work deals with the problem of strongly correlated electrons in two-dimensions (2D). We give a reduced density matrix (RDM) based tool through which the ground-state energy is…
Fine-Grained Tensor Network Methods
Philipp Schmoll, Saeed S. Jahromi, Max Hörmann +3
We develop a strategy for tensor network algorithms that allows to deal very efficiently with lattices of high connectivity. The basic idea is to fine-grain the physical degrees of…