On the concurrent bipartite entanglement of a spin-1 Heisenberg diamond cluster developed for tetranuclear nickel complexes
A Ghannadan, K Karl'ová, J Strečka - Magnetochemistry, 2022 - mdpi.com
The bipartite entanglement of a quantum spin-1 Heisenberg diamond cluster in the
presence of the external magnetic field is quantified through the negativity, which is …
presence of the external magnetic field is quantified through the negativity, which is …
Thermal Hall conductivity of a valence bond solid phase in the square lattice antiferromagnet Heisenberg model with a Dzyaloshinskii-Moriya interaction
LS Buzo, RL Doretto - Physical Review B, 2024 - APS
We calculate the thermal Hall conductivity κ xy for the columnar valence bond solid phase of
a two-dimensional frustrated antiferromagnet. In particular, we consider the square lattice …
a two-dimensional frustrated antiferromagnet. In particular, we consider the square lattice …
Ground State, Magnetization Process and Bipartite Quantum Entanglement of a Spin-1/2 Ising–Heisenberg Model on Planar Lattices of Interconnected Trigonal …
L Gálisová, M Kaczor - Entropy, 2021 - mdpi.com
The ground state, magnetization scenario and the local bipartite quantum entanglement of a
mixed spin-1/2 Ising–Heisenberg model in a magnetic field on planar lattices formed by …
mixed spin-1/2 Ising–Heisenberg model in a magnetic field on planar lattices formed by …
Mean-field theory of interacting triplons in a two-dimensional valence-bond solid: Stability and properties of many-triplon states
RL Doretto - Physical Review B, 2020 - APS
We study a system of N¯ interacting triplons (the elementary excitations of a valence-bond
solid) described by an effective interacting boson model derived within the bond operator …
solid) described by an effective interacting boson model derived within the bond operator …
Machine learning quantum criticality in the spin-1/2 quantum antiferromagnets on the square lattice with plaquette structure
T Duric - arXiv preprint arXiv:2103.07236, 2021 - arxiv.org
The power of machine learning algorithms to automatically classify different phases of matter
and detect quantum phase transitions without necessity to characterize phases by various …
and detect quantum phase transitions without necessity to characterize phases by various …